Dataset statistics
| Number of variables | 23 |
|---|---|
| Number of observations | 11935 |
| Missing cells | 68691 |
| Missing cells (%) | 25.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 2.1 MiB |
| Average record size in memory | 184.0 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 12 |
| Unsupported | 2 |
PostTypeId has constant value "1" | Constant |
CreationDate has a high cardinality: 11934 distinct values | High cardinality |
Body has a high cardinality: 11935 distinct values | High cardinality |
OwnerDisplayName has a high cardinality: 1713 distinct values | High cardinality |
LastEditorDisplayName has a high cardinality: 907 distinct values | High cardinality |
LastEditDate has a high cardinality: 10984 distinct values | High cardinality |
LastActivityDate has a high cardinality: 11933 distinct values | High cardinality |
Title has a high cardinality: 11935 distinct values | High cardinality |
Tags has a high cardinality: 10083 distinct values | High cardinality |
ClosedDate has a high cardinality: 1369 distinct values | High cardinality |
CommunityOwnedDate has a high cardinality: 556 distinct values | High cardinality |
ContentLicense is highly correlated with PostTypeId | High correlation |
PostTypeId is highly correlated with ContentLicense | High correlation |
AcceptedAnswerId has 1421 (11.9%) missing values | Missing |
ParentId has 11935 (100.0%) missing values | Missing |
DeletionDate has 11935 (100.0%) missing values | Missing |
OwnerUserId has 306 (2.6%) missing values | Missing |
OwnerDisplayName has 9539 (79.9%) missing values | Missing |
LastEditorUserId has 776 (6.5%) missing values | Missing |
LastEditorDisplayName has 10220 (85.6%) missing values | Missing |
LastEditDate has 620 (5.2%) missing values | Missing |
ClosedDate has 10560 (88.5%) missing values | Missing |
CommunityOwnedDate has 11379 (95.3%) missing values | Missing |
CreationDate is uniformly distributed | Uniform |
Body is uniformly distributed | Uniform |
OwnerDisplayName is uniformly distributed | Uniform |
LastActivityDate is uniformly distributed | Uniform |
Title is uniformly distributed | Uniform |
ClosedDate is uniformly distributed | Uniform |
CommunityOwnedDate is uniformly distributed | Uniform |
Id has unique values | Unique |
Body has unique values | Unique |
Title has unique values | Unique |
ParentId is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
DeletionDate is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
CommentCount has 2501 (21.0%) zeros | Zeros |
Reproduction
| Analysis started | 2021-05-21 10:06:52.424256 |
|---|---|
| Analysis finished | 2021-05-21 10:07:18.551828 |
| Duration | 26.13 seconds |
| Software version | pandas-profiling v2.10.0 |
| Download configuration | config.yaml |
| Distinct | 11935 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7945389.421 |
|---|---|
| Minimum | 9 |
| Maximum | 63607158 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | 9 |
|---|---|
| 5-th percentile | 111760 |
| Q1 | 987685 |
| median | 3964681 |
| Q3 | 11182984 |
| 95-th percentile | 29959399.7 |
| Maximum | 63607158 |
| Range | 63607149 |
| Interquartile range (IQR) | 10195299 |
Descriptive statistics
| Standard deviation | 9851468.285 |
|---|---|
| Coefficient of variation (CV) | 1.239897476 |
| Kurtosis | 3.408015073 |
| Mean | 7945389.421 |
| Median Absolute Deviation (MAD) | 3516410 |
| Skewness | 1.840408439 |
| Sum | 9.482822274 × 1010 |
| Variance | 9.705142737 × 1013 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 1720320 | 1 | < 0.1% |
| 3226282 | 1 | < 0.1% |
| 11832914 | 1 | < 0.1% |
| 1460892 | 1 | < 0.1% |
| 5905054 | 1 | < 0.1% |
| 6031214 | 1 | < 0.1% |
| 30024353 | 1 | < 0.1% |
| 30669474 | 1 | < 0.1% |
| 4840102 | 1 | < 0.1% |
| 21925671 | 1 | < 0.1% |
| Other values (11925) | 11925 |
| Value | Count | Frequency (%) |
| 9 | 1 | |
| 11 | 1 | |
| 13 | 1 | |
| 19 | 1 | |
| 42 | 1 |
| Value | Count | Frequency (%) |
| 63607158 | 1 | |
| 59006602 | 1 | |
| 58441514 | 1 | |
| 57456188 | 1 | |
| 56839307 | 1 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 93.4 KiB |
| 1 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 11935 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 1 | 11935 |
| Value | Count | Frequency (%) |
| 1 | 11935 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 11935 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 11935 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 11935 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 11935 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 11935 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 11935 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 11935 |
| Distinct | 10514 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 1421 |
| Missing (%) | 11.9% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9170627.091 |
|---|---|
| Minimum | 77 |
| Maximum | 63955114 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | 77 |
|---|---|
| 5-th percentile | 135206.95 |
| Q1 | 1221941.75 |
| median | 4737625 |
| Q3 | 13198476.25 |
| 95-th percentile | 33163627.2 |
| Maximum | 63955114 |
| Range | 63955037 |
| Interquartile range (IQR) | 11976534.5 |
Descriptive statistics
| Standard deviation | 10980995.05 |
|---|---|
| Coefficient of variation (CV) | 1.197409397 |
| Kurtosis | 3.021260069 |
| Mean | 9170627.091 |
| Median Absolute Deviation (MAD) | 4217358.5 |
| Skewness | 1.755893514 |
| Sum | 9.641997324 × 1010 |
| Variance | 1.205822523 × 1014 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 4955297 | 1 | < 0.1% |
| 486663 | 1 | < 0.1% |
| 7975511 | 1 | < 0.1% |
| 33064 | 1 | < 0.1% |
| 2587398 | 1 | < 0.1% |
| 1282265 | 1 | < 0.1% |
| 2706537 | 1 | < 0.1% |
| 9255507 | 1 | < 0.1% |
| 10775442 | 1 | < 0.1% |
| 6293626 | 1 | < 0.1% |
| Other values (10504) | 10504 | |
| (Missing) | 1421 | 11.9% |
| Value | Count | Frequency (%) |
| 77 | 1 | |
| 298 | 1 | |
| 362 | 1 | |
| 396 | 1 | |
| 516 | 1 |
| Value | Count | Frequency (%) |
| 63955114 | 1 | |
| 62551786 | 1 | |
| 62438464 | 1 | |
| 62196340 | 1 | |
| 61859561 | 1 |
| Distinct | 11934 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 93.4 KiB |
| 2008-09-01 18:16:41 | 2 |
|---|---|
| 2008-10-13 21:29:50 | 1 |
| 2008-10-14 18:07:37 | 1 |
| 2010-04-29 01:41:54 | 1 |
| 2010-11-24 17:51:13 | 1 |
| Other values (11929) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 226765 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 11933 ? |
|---|---|
| Unique (%) | > 99.9% |
Sample
| 1st row | 2008-09-03 06:30:31 |
|---|---|
| 2nd row | 2011-11-29 17:30:29 |
| 3rd row | 2008-09-03 20:34:33 |
| 4th row | 2008-09-03 21:32:02 |
| 5th row | 2013-05-20 07:53:02 |
| Value | Count | Frequency (%) |
| 2008-09-01 18:16:41 | 2 | < 0.1% |
| 2008-10-13 21:29:50 | 1 | < 0.1% |
| 2008-10-14 18:07:37 | 1 | < 0.1% |
| 2010-04-29 01:41:54 | 1 | < 0.1% |
| 2010-11-24 17:51:13 | 1 | < 0.1% |
| 2009-06-30 12:21:40 | 1 | < 0.1% |
| 2012-06-04 21:26:40 | 1 | < 0.1% |
| 2014-07-08 00:46:51 | 1 | < 0.1% |
| 2010-01-19 04:55:03 | 1 | < 0.1% |
| 2012-07-23 20:35:02 | 1 | < 0.1% |
| Other values (11924) | 11924 |
| Value | Count | Frequency (%) |
| 2008-09-16 | 50 | 0.2% |
| 2008-09-17 | 44 | 0.2% |
| 2008-09-18 | 37 | 0.2% |
| 2008-09-19 | 37 | 0.2% |
| 2008-09-25 | 36 | 0.2% |
| 2008-09-15 | 32 | 0.1% |
| 2008-09-24 | 29 | 0.1% |
| 2008-09-23 | 29 | 0.1% |
| 2008-10-02 | 27 | 0.1% |
| 2008-09-26 | 26 | 0.1% |
| Other values (13835) | 23523 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 44833 | |
| 1 | 33446 | |
| 2 | 29962 | |
| - | 23870 | |
| : | 23870 | |
| 11935 | 5.3% | |
| 3 | 11602 | 5.1% |
| 4 | 9963 | 4.4% |
| 5 | 9801 | 4.3% |
| 9 | 8550 | 3.8% |
| Other values (3) | 18933 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 167090 | |
| Dash Punctuation | 23870 | 10.5% |
| Other Punctuation | 23870 | 10.5% |
| Space Separator | 11935 | 5.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 44833 | |
| 1 | 33446 | |
| 2 | 29962 | |
| 3 | 11602 | 6.9% |
| 4 | 9963 | 6.0% |
| 5 | 9801 | 5.9% |
| 9 | 8550 | 5.1% |
| 8 | 7573 | 4.5% |
| 6 | 5785 | 3.5% |
| 7 | 5575 | 3.3% |
| Value | Count | Frequency (%) |
| - | 23870 |
| Value | Count | Frequency (%) |
| 11935 |
| Value | Count | Frequency (%) |
| : | 23870 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 226765 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 44833 | |
| 1 | 33446 | |
| 2 | 29962 | |
| - | 23870 | |
| : | 23870 | |
| 11935 | 5.3% | |
| 3 | 11602 | 5.1% |
| 4 | 9963 | 4.4% |
| 5 | 9801 | 4.3% |
| 9 | 8550 | 3.8% |
| Other values (3) | 18933 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 226765 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 44833 | |
| 1 | 33446 | |
| 2 | 29962 | |
| - | 23870 | |
| : | 23870 | |
| 11935 | 5.3% | |
| 3 | 11602 | 5.1% |
| 4 | 9963 | 4.4% |
| 5 | 9801 | 4.3% |
| 9 | 8550 | 3.8% |
| Other values (3) | 18933 |
Score
Real number (ℝ)
| Distinct | 1893 |
|---|---|
| Distinct (%) | 15.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 559.3235861 |
|---|---|
| Minimum | -146 |
| Maximum | 25400 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | -146 |
|---|---|
| 5-th percentile | 119 |
| Q1 | 226 |
| median | 364 |
| Q3 | 604 |
| 95-th percentile | 1627.6 |
| Maximum | 25400 |
| Range | 25546 |
| Interquartile range (IQR) | 378 |
Descriptive statistics
| Standard deviation | 770.9057898 |
|---|---|
| Coefficient of variation (CV) | 1.378282284 |
| Kurtosis | 197.8182413 |
| Mean | 559.3235861 |
| Median Absolute Deviation (MAD) | 167 |
| Skewness | 9.709142639 |
| Sum | 6675527 |
| Variance | 594295.7367 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 264 | 37 | 0.3% |
| 271 | 34 | 0.3% |
| 189 | 34 | 0.3% |
| 280 | 33 | 0.3% |
| 203 | 33 | 0.3% |
| 209 | 32 | 0.3% |
| 236 | 31 | 0.3% |
| 217 | 31 | 0.3% |
| 207 | 31 | 0.3% |
| 220 | 31 | 0.3% |
| Other values (1883) | 11608 |
| Value | Count | Frequency (%) |
| -146 | 1 | |
| 12 | 1 | |
| 28 | 1 | |
| 29 | 1 | |
| 32 | 2 |
| Value | Count | Frequency (%) |
| 25400 | 1 | |
| 22484 | 1 | |
| 17846 | 1 | |
| 12452 | 1 | |
| 11051 | 1 |
ViewCount
Real number (ℝ≥0)
| Distinct | 11844 |
|---|---|
| Distinct (%) | 99.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 450605.762 |
|---|---|
| Minimum | 4448 |
| Maximum | 9426474 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | 4448 |
|---|---|
| 5-th percentile | 47727.4 |
| Q1 | 139462.5 |
| median | 281931 |
| Q3 | 549259 |
| 95-th percentile | 1416149.5 |
| Maximum | 9426474 |
| Range | 9422026 |
| Interquartile range (IQR) | 409796.5 |
Descriptive statistics
| Standard deviation | 554720.3136 |
|---|---|
| Coefficient of variation (CV) | 1.231054639 |
| Kurtosis | 33.94365368 |
| Mean | 450605.762 |
| Median Absolute Deviation (MAD) | 171456 |
| Skewness | 4.349079131 |
| Sum | 5377979769 |
| Variance | 3.077146263 × 1011 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 191511 | 2 | < 0.1% |
| 83458 | 2 | < 0.1% |
| 106323 | 2 | < 0.1% |
| 163655 | 2 | < 0.1% |
| 174890 | 2 | < 0.1% |
| 135433 | 2 | < 0.1% |
| 141657 | 2 | < 0.1% |
| 60679 | 2 | < 0.1% |
| 511760 | 2 | < 0.1% |
| 75038 | 2 | < 0.1% |
| Other values (11834) | 11915 |
| Value | Count | Frequency (%) |
| 4448 | 1 | |
| 5969 | 1 | |
| 6974 | 1 | |
| 7140 | 1 | |
| 7460 | 1 |
| Value | Count | Frequency (%) |
| 9426474 | 1 | |
| 8730703 | 1 | |
| 8001167 | 1 | |
| 7569705 | 1 | |
| 7181095 | 1 |
| Distinct | 11935 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 93.4 KiB |
| <p>I'm trying to perform some offline maintenance (dev database restore from live backup) on my dev database, but the 'Take Offline' command via SQL Server Management Studio is performing <strong>extremely</strong> slowly - on the order of 30 minutes plus now. I am just about at my wits end and I can't seem to find any references online as to what might be causing the speed problem, or how to fix it.</p> <p>Some sites have suggested that open connections to the database cause this slowdown, but the only application that uses this database is my dev machine's IIS instance, and the service is stopped - there are no more open connections.</p> <p>What could be causing this slowdown, and what can I do to speed it up?</p> | 1 |
|---|---|
| <p><a href="https://stackoverflow.com/questions/292357/whats-the-difference-between-git-pull-and-git-fetch">Another question</a> says that <code>git pull</code> is like a <code>git fetch</code> + <code>git merge</code>.</p> <p>But what is the difference between <code>git pull</code> and <code>git fetch</code> + <code>git rebase</code>?</p> | 1 |
| <p>Sealed classes are described in 'Programming in Scala', but sealed traits are not. Where can I find more information about a sealed trait?</p> <p>I would like to know, if a sealed trait is the same as a sealed class? Or, if not, what are the differences? When is it a good idea to use a sealed trait (and when not)?</p> | 1 |
| <p>It is supposed to be generally preferable to use a <code>StringBuilder</code> for string concatenation in Java. Is this always the case?</p> <p>What I mean is this: Is the overhead of creating a <code>StringBuilder</code> object, calling the <code>append()</code> method and finally <code>toString()</code> already smaller then concatenating existing strings with the <code>+</code> operator for two strings, or is it only advisable for more (than two) strings?</p> <p>If there is such a threshold, what does it depend on (perhaps the string length, but in which way)?</p> <p>And finally, would you trade the readability and conciseness of the <code>+</code> concatenation for the performance of the <code>StringBuilder</code> in smaller cases like two, three or four strings?</p> <p>Explicit use of <code>StringBuilder</code> for regular concatenations is being mentioned as obsolete at <a href="https://stackoverflow.com/questions/4019180/obsolete-java-optimization-tips">obsolete Java optimization tips</a> as well as at <a href="https://stackoverflow.com/questions/2248278/java-urban-myths">Java urban myths</a>.</p> | 1 |
| <p>In terms of Java, when someone asks: </p> <blockquote> <p>what is polymorphism?</p> </blockquote> <p>Would <strong>overloading</strong> or <strong>overriding</strong> be an acceptable answer?</p> <p>I think there is a bit more to it than that. </p> <p><em>IF you had a abstract base class that defined a method with no implementation, and you defined that method in the sub class, is that still overridding?</em></p> <p>I think <strong>overloading</strong> is not the right answer for sure.</p> | 1 |
| Other values (11930) |
Length
| Max length | 24750 |
|---|---|
| Median length | 512 |
| Mean length | 829.1379137 |
| Min length | 23 |
Characters and Unicode
| Total characters | 9895761 |
|---|---|
| Distinct characters | 408 |
| Distinct categories | 22 ? |
| Distinct scripts | 11 ? |
| Distinct blocks | 23 ? |
Unique
| Unique | 11935 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | <p>I found an example in the <a href="http://msdn2.microsoft.com/en-us/bb330936.aspx" rel="noreferrer">VS2008 Examples</a> for Dynamic LINQ that allows you to use a sql-like string (e.g. <code>OrderBy("Name, Age DESC"))</code> for ordering. Unfortunately, the method included only works on <code>IQueryable<T></code>. Is there any way to get this functionality on <code>IEnumerable<T></code>?</p> |
|---|---|
| 2nd row | <p>RequireJS seems to do something internally that caches required javascript files. If I make a change to one of the required files, I have to rename the file in order for the changes to be applied. </p> <p>The common trick of appending a version number as a querystring param to the end of the filename does not work with requirejs <code><script src="jsfile.js?v2"></script></code> </p> <p>What I am looking for is a way to prevent this internal cacheing of RequireJS required scripts without having to rename my script files every time they are updated.</p> <p><strong>Cross-Platform Solution:</strong></p> <p>I am now using <code>urlArgs: "bust=" + (new Date()).getTime()</code> for automatic cache-busting during development and <code>urlArgs: "bust=v2"</code> for production where I increment the hard-coded version num after rolling out an updated required script.</p> <p><strong>Note:</strong></p> <p>@Dustin Getz mentioned in a recent answer that Chrome Developer Tools will drop breakpoints during debugging when Javascript files are continuously refreshed like this. One workaround is to write <code>debugger;</code> in code to trigger a breakpoint in most Javascript debuggers.</p> <p><strong>Server-Specific Solutions:</strong></p> <p>For specific solutions that may work better for your server environment such as Node or Apache, see some of the answers below.</p> |
| 3rd row | <p>Inspired by <a href="https://devblogs.microsoft.com/oldnewthing/20080902-00/?p=21003" rel="noreferrer">Raymond Chen's post</a>, say you have a 4x4 two dimensional array, write a function that rotates it 90 degrees. Raymond links to a solution in pseudo code, but I'd like to see some real world stuff.</p> <pre><code>[1][2][3][4] [5][6][7][8] [9][0][1][2] [3][4][5][6] </code></pre> <p>Becomes:</p> <pre><code>[3][9][5][1] [4][0][6][2] [5][1][7][3] [6][2][8][4] </code></pre> <p><strong>Update</strong>: Nick's answer is the most straightforward, but is there a way to do it better than n^2? What if the matrix was 10000x10000?</p> |
| 4th row | <p>What is the best way to get <code>IDENTITY</code> of inserted row?</p> <p>I know about <code>@@IDENTITY</code> and <code>IDENT_CURRENT</code> and <code>SCOPE_IDENTITY</code> but don't understand the pros and cons attached to each.</p> <p>Can someone please explain the differences and when I should be using each?</p> |
| 5th row | <p>I am trying to synchronise a project that I have on in my Android Studio folder to GitHub, but I am not fully sure what to do other than adding my credentials in the options menu. Could someone give me a quick guide, please?</p> |
| Value | Count | Frequency (%) |
| <p>I'm trying to perform some offline maintenance (dev database restore from live backup) on my dev database, but the 'Take Offline' command via SQL Server Management Studio is performing <strong>extremely</strong> slowly - on the order of 30 minutes plus now. I am just about at my wits end and I can't seem to find any references online as to what might be causing the speed problem, or how to fix it.</p> <p>Some sites have suggested that open connections to the database cause this slowdown, but the only application that uses this database is my dev machine's IIS instance, and the service is stopped - there are no more open connections.</p> <p>What could be causing this slowdown, and what can I do to speed it up?</p> | 1 | < 0.1% |
| <p><a href="https://stackoverflow.com/questions/292357/whats-the-difference-between-git-pull-and-git-fetch">Another question</a> says that <code>git pull</code> is like a <code>git fetch</code> + <code>git merge</code>.</p> <p>But what is the difference between <code>git pull</code> and <code>git fetch</code> + <code>git rebase</code>?</p> | 1 | < 0.1% |
| <p>Sealed classes are described in 'Programming in Scala', but sealed traits are not. Where can I find more information about a sealed trait?</p> <p>I would like to know, if a sealed trait is the same as a sealed class? Or, if not, what are the differences? When is it a good idea to use a sealed trait (and when not)?</p> | 1 | < 0.1% |
| <p>It is supposed to be generally preferable to use a <code>StringBuilder</code> for string concatenation in Java. Is this always the case?</p> <p>What I mean is this: Is the overhead of creating a <code>StringBuilder</code> object, calling the <code>append()</code> method and finally <code>toString()</code> already smaller then concatenating existing strings with the <code>+</code> operator for two strings, or is it only advisable for more (than two) strings?</p> <p>If there is such a threshold, what does it depend on (perhaps the string length, but in which way)?</p> <p>And finally, would you trade the readability and conciseness of the <code>+</code> concatenation for the performance of the <code>StringBuilder</code> in smaller cases like two, three or four strings?</p> <p>Explicit use of <code>StringBuilder</code> for regular concatenations is being mentioned as obsolete at <a href="https://stackoverflow.com/questions/4019180/obsolete-java-optimization-tips">obsolete Java optimization tips</a> as well as at <a href="https://stackoverflow.com/questions/2248278/java-urban-myths">Java urban myths</a>.</p> | 1 | < 0.1% |
| <p>In terms of Java, when someone asks: </p> <blockquote> <p>what is polymorphism?</p> </blockquote> <p>Would <strong>overloading</strong> or <strong>overriding</strong> be an acceptable answer?</p> <p>I think there is a bit more to it than that. </p> <p><em>IF you had a abstract base class that defined a method with no implementation, and you defined that method in the sub class, is that still overridding?</em></p> <p>I think <strong>overloading</strong> is not the right answer for sure.</p> | 1 | < 0.1% |
| <p>Once upon a time, we can watch the most popular repositories (Most forked or Most watched) at this page (<a href="https://github.com/popular/watched">https://github.com/popular/watched</a>) of Github. like this:</p> <p><img src="https://i.imgur.com/nkEzfwY.png" alt="img"></p> <p>But now when you try to explore repos, you can only see the Top 25 trending repositories. like this: <a href="https://github.com/trending">https://github.com/trending</a></p> <p>Why Github change this, and is there any way to find out the list of the most popular repos?</p> | 1 | < 0.1% |
| <p>Is there a destructor for Java? I don't seem to be able to find any documentation on this. If there isn't, how can I achieve the same effect?</p> <p>To make my question more specific, I am writing an application that deals with data and the specification say that there should be a 'reset' button that brings the application back to its original just launched state. However, all data have to be 'live' unless the application is closed or reset button is pressed.</p> <p>Being usually a C/C++ programmer, I thought this would be trivial to implement. (And hence I planned to implement it last.) I structured my program such that all the 'reset-able' objects would be in the same class so that I can just destroy all 'live' objects when a reset button is pressed.</p> <p>I was thinking if all I did was just to dereference the data and wait for the garbage collector to collect them, wouldn't there be a memory leak if my user repeatedly entered data and pressed the reset button? I was also thinking since Java is quite mature as a language, there should be a way to prevent this from happening or gracefully tackle this.</p> | 1 | < 0.1% |
| <p>I would like to know if there is an alternative to iFrames with HTML5. I mean by that, be able to inject cross-domains HTML inside of a webpage without using an iFrame.</p> | 1 | < 0.1% |
| <p>I am learning about Big O Notation running times and amortized times. I understand the notion of <em>O(n)</em> linear time, meaning that the size of the input affects the growth of the algorithm proportionally...and the same goes for, for example, quadratic time <em>O(n<sup>2</sup>)</em> etc..even algorithms, such as permutation generators, with <em>O(n!)</em> times, that grow by factorials.</p> <p>For example, the following function is <em>O(n)</em> because the algorithm grows in proportion to its input <em>n</em>:</p> <pre><code>f(int n) { int i; for (i = 0; i < n; ++i) printf("%d", i); } </code></pre> <p>Similarly, if there was a nested loop, the time would be O(n<sup>2</sup>).</p> <p>But what exactly is <em>O(log n)</em>? For example, what does it mean to say that the height of a complete binary tree is <em>O(log n)</em>?</p> <p>I do know (maybe not in great detail) what Logarithm is, in the sense that: log<sub>10</sub> 100 = 2, but I cannot understand how to identify a function with a logarithmic time.</p> | 1 | < 0.1% |
| <p>After I did brew update and brew upgrade, my postgres got some problem. I tried to uninstall postgres and install again, but it didn't work as well. </p> <p>This is the error message.(I also got this error message when I try to do rake db:migrate)</p> <pre><code>$ psql psql: could not connect to server: No such file or directory Is the server running locally and accepting connections on Unix domain socket "/tmp/.s.PGSQL.5432"? </code></pre> <p>How can I solve it?</p> <p>Mac version: Mountain lion.</p> <p>homebrew version: 0.9.3</p> <p>postgres version: psql (PostgreSQL) 9.2.1</p> <p>And this is what I did.</p> <pre><code>12:30 ~/D/works$ brew uninstall postgresql Uninstalling /usr/local/Cellar/postgresql/9.2.1... 12:31 ~/D/works$ brew uninstall postgresql Uninstalling /usr/local/Cellar/postgresql/9.1.4... 12:31 ~/D/works$ psql --version bash: /usr/local/bin/psql: No such file or directory 12:33 ~/D/works$ brew install postgresql ==> Downloading http://ftp.postgresql.org/pub/source/v9.2.1/postgresql-9.2.1.tar.bz2 Already downloaded: /Library/Caches/Homebrew/postgresql-9.2.1.tar.bz2 ...... ...... ==> Summary /usr/local/Cellar/postgresql/9.2.1: 2814 files, 38M, built in 2.7 minutes 12:37 ~/D/works$ initdb /usr/local/var/postgres -E utf8 The files belonging to this database system will be owned by user "laigary". This user must also own the server process. The database cluster will be initialized with locale "en_US.UTF-8". The default text search configuration will be set to "english". initdb: directory "/usr/local/var/postgres" exists but is not empty If you want to create a new database system, either remove or empty the directory "/usr/local/var/postgres" or run initdb with an argument other than "/usr/local/var/postgres". 12:39 ~/D/works$ mkdir -p ~/Library/LaunchAgents 12:39 ~/D/works$ cp /usr/local/Cellar/postgresql/9.2.1/homebrew.mxcl.postgresql.plist ~/Library/LaunchAgents/ 12:39 ~/D/works$ launchctl load -w ~/Library/LaunchAgents/homebrew.mxcl.postgresql.plist homebrew.mxcl.postgresql: Already loaded 12:39 ~/D/works$ pg_ctl -D /usr/local/var/postgres -l /usr/local/var/postgres/server.log start server starting 12:39 ~/D/works$ env ARCHFLAGS="-arch x86_64" gem install pg Building native extensions. This could take a while... Successfully installed pg-0.14.1 1 gem installed 12:42 ~/D/works$ psql --version psql (PostgreSQL) 9.2.1 12:42 ~/D/works$ psql psql: could not connect to server: No such file or directory Is the server running locally and accepting connections on Unix domain socket "/tmp/.s.PGSQL.5432"? </code></pre> <p>Now, after I reinstalled howbrew,when I use <code>$ psql</code>, It doesn't show any error message.</p> <p>But I run <code>rake db:migrate</code> in my rails app, it shows:</p> <pre><code>could not connect to server: No such file or directory Is the server running locally and accepting connections on Unix domain socket "/var/pgsql_socket/.s.PGSQL.5432"? /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:1213:in `initialize' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:1213:in `new' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:1213:in `connect' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:329:in `initialize' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:28:in `new' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/postgresql_adapter.rb:28:in `postgresql_connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:309:in `new_connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:319:in `checkout_new_connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:241:in `block (2 levels) in checkout' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:236:in `loop' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:236:in `block in checkout' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/monitor.rb:211:in `mon_synchronize' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:233:in `checkout' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:96:in `block in connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/monitor.rb:211:in `mon_synchronize' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:95:in `connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_pool.rb:404:in `retrieve_connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_specification.rb:170:in `retrieve_connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/connection_adapters/abstract/connection_specification.rb:144:in `connection' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:107:in `rescue in create_database' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:51:in `create_database' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:40:in `block (3 levels) in <top (required)>' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:40:in `each' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/gems/1.9.1/gems/activerecord-3.2.8/lib/active_record/railties/databases.rake:40:in `block (2 levels) in <top (required)>' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/task.rb:205:in `call' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/task.rb:205:in `block in execute' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/task.rb:200:in `each' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/task.rb:200:in `execute' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/task.rb:158:in `block in invoke_with_call_chain' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/monitor.rb:211:in `mon_synchronize' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/task.rb:151:in `invoke_with_call_chain' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/task.rb:144:in `invoke' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:116:in `invoke_task' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:94:in `block (2 levels) in top_level' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:94:in `each' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:94:in `block in top_level' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:133:in `standard_exception_handling' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:88:in `top_level' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:66:in `block in run' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:133:in `standard_exception_handling' /usr/local/Cellar/ruby/1.9.3-p327/lib/ruby/1.9.1/rake/application.rb:63:in `run' /usr/local/bin/rake:32:in `<main>' Couldn't create database for {"adapter"=>"postgresql", "encoding"=>"unicode", "database"=>"riy_development", "pool"=>5, "username"=>nil, "password"=>nil} </code></pre> <p><strong>Finally I find the solution.</strong></p> <pre><code>$ sudo mkdir /var/pgsql_socket/ $ sudo ln -s /private/tmp/.s.PGSQL.5432 /var/pgsql_socket/ </code></pre> <p>This solution is little tricky, but it works. Hope anyone have a better solution</p> <p><strong>Update</strong></p> <p>This works for me as well.</p> <pre><code>rm /usr/local/var/postgres/postmaster.pid </code></pre> | 1 | < 0.1% |
| Other values (11925) | 11925 |
| Value | Count | Frequency (%) |
| the | 49308 | 3.9% |
| 40181 | 3.2% | |
| to | 36545 | 2.9% |
| a | 33430 | 2.7% |
| i | 26570 | 2.1% |
| and | 19267 | 1.5% |
| is | 18081 | 1.4% |
| in | 16547 | 1.3% |
| of | 16077 | 1.3% |
| that | 11930 | 0.9% |
| Other values (116595) | 992056 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1407644 | 14.2% | |
| e | 809309 | 8.2% |
| t | 620460 | 6.3% |
| o | 538281 | 5.4% |
| a | 467639 | 4.7% |
| i | 433918 | 4.4% |
| n | 420878 | 4.3% |
| r | 414914 | 4.2% |
| s | 389979 | 3.9% |
| l | 288910 | 2.9% |
| Other values (398) | 4103829 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 6546881 | |
| Space Separator | 1408105 | 14.2% |
| Other Punctuation | 589974 | 6.0% |
| Math Symbol | 472711 | 4.8% |
| Uppercase Letter | 358863 | 3.6% |
| Control | 184345 | 1.9% |
| Decimal Number | 152567 | 1.5% |
| Close Punctuation | 52665 | 0.5% |
| Open Punctuation | 52594 | 0.5% |
| Dash Punctuation | 50969 | 0.5% |
| Other values (12) | 26087 | 0.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| ͗ | 6 | 2.3% |
| ̮ | 6 | 2.3% |
| ͋ | 6 | 2.3% |
| ͇ | 6 | 2.3% |
| ̤ | 5 | 1.9% |
| ̀ | 5 | 1.9% |
| ͤ | 5 | 1.9% |
| ̗ | 5 | 1.9% |
| ̱ | 5 | 1.9% |
| ̊ | 5 | 1.9% |
| Other values (89) | 210 |
| Value | Count | Frequency (%) |
| e | 809309 | |
| t | 620460 | 9.5% |
| o | 538281 | 8.2% |
| a | 467639 | 7.1% |
| i | 433918 | 6.6% |
| n | 420878 | 6.4% |
| r | 414914 | 6.3% |
| s | 389979 | 6.0% |
| l | 288910 | 4.4% |
| d | 275514 | 4.2% |
| Other values (80) | 1887079 |
| Value | Count | Frequency (%) |
| I | 64134 | |
| S | 29306 | 8.2% |
| T | 25311 | 7.1% |
| A | 21882 | 6.1% |
| C | 21545 | 6.0% |
| E | 16948 | 4.7% |
| P | 15871 | 4.4% |
| L | 14334 | 4.0% |
| R | 13847 | 3.9% |
| M | 13683 | 3.8% |
| Other values (36) | 122002 |
| Value | Count | Frequency (%) |
| 没 | 6 | 4.9% |
| 有 | 6 | 4.9% |
| 那 | 6 | 4.9% |
| 个 | 6 | 4.9% |
| 文 | 6 | 4.9% |
| 件 | 6 | 4.9% |
| 或 | 6 | 4.9% |
| 目 | 6 | 4.9% |
| 录 | 6 | 4.9% |
| ಠ | 6 | 4.9% |
| Other values (30) | 63 |
| Value | Count | Frequency (%) |
| ─ | 261 | |
| ═ | 120 | |
| ├ | 78 | 10.3% |
| │ | 56 | 7.4% |
| └ | 55 | 7.3% |
| ¦ | 48 | 6.4% |
| ║ | 24 | 3.2% |
| 👩 | 20 | 2.6% |
| ☺ | 12 | 1.6% |
| 👧 | 10 | 1.3% |
| Other values (27) | 71 | 9.4% |
| Value | Count | Frequency (%) |
| / | 178398 | |
| . | 112134 | |
| " | 59611 | 10.1% |
| , | 52014 | 8.8% |
| ; | 44558 | 7.6% |
| : | 44120 | 7.5% |
| ' | 33220 | 5.6% |
| & | 27253 | 4.6% |
| ? | 19027 | 3.2% |
| # | 5115 | 0.9% |
| Other values (14) | 14524 | 2.5% |
| Value | Count | Frequency (%) |
| > | 213954 | |
| < | 213663 | |
| = | 36502 | 7.7% |
| + | 5854 | 1.2% |
| | | 2257 | 0.5% |
| ~ | 433 | 0.1% |
| → | 21 | < 0.1% |
| × | 13 | < 0.1% |
| ← | 3 | < 0.1% |
| ∞ | 2 | < 0.1% |
| Other values (7) | 9 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 30561 | |
| 1 | 27061 | |
| 2 | 22106 | |
| 3 | 14376 | |
| 4 | 11854 | 7.8% |
| 5 | 10855 | 7.1% |
| 6 | 9768 | 6.4% |
| 9 | 9070 | 5.9% |
| 8 | 8936 | 5.9% |
| 7 | 7980 | 5.2% |
| Value | Count | Frequency (%) |
| 1407644 | ||
| 371 | < 0.1% | |
| 28 | < 0.1% | |
| 20 | < 0.1% | |
| 20 | < 0.1% | |
| 20 | < 0.1% | |
| 2 | < 0.1% |
| Value | Count | Frequency (%) |
| ( | 37405 | |
| { | 8678 | 16.5% |
| [ | 6509 | 12.4% |
| „ | 1 | < 0.1% |
| ‚ | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| ` | 963 | |
| ^ | 331 | 25.4% |
| ´ | 7 | 0.5% |
| ˜ | 1 | 0.1% |
| Value | Count | Frequency (%) |
| $ | 3797 | |
| £ | 5 | 0.1% |
| ¢ | 4 | 0.1% |
| ¤ | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| ² | 6 | |
| ³ | 2 | 20.0% |
| ⁴ | 1 | 10.0% |
| ¹ | 1 | 10.0% |
| Value | Count | Frequency (%) |
| - | 50818 | |
| – | 82 | 0.2% |
| — | 69 | 0.1% |
| Value | Count | Frequency (%) |
| ) | 37582 | |
| } | 8623 | 16.4% |
| ] | 6460 | 12.3% |
| Value | Count | Frequency (%) |
| 182080 | ||
| 2238 | 1.2% | |
| 27 | < 0.1% |
| Value | Count | Frequency (%) |
| “ | 124 | |
| ‘ | 48 | 27.6% |
| « | 2 | 1.1% |
| Value | Count | Frequency (%) |
| ’ | 296 | |
| ” | 135 | |
| » | 2 | 0.5% |
| Value | Count | Frequency (%) |
| | 57 | |
| | 25 | |
| | 1 | 1.2% |
| Value | Count | Frequency (%) |
| _ | 19132 |
| Value | Count | Frequency (%) |
| ҉ | 3 |
| Value | Count | Frequency (%) |
| 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6905600 | |
| Common | 2989609 | |
| Inherited | 289 | < 0.1% |
| Cyrillic | 124 | < 0.1% |
| Han | 65 | < 0.1% |
| Hangul | 39 | < 0.1% |
| Greek | 16 | < 0.1% |
| Hebrew | 7 | < 0.1% |
| Kannada | 6 | < 0.1% |
| Hiragana | 4 | < 0.1% |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1407644 | ||
| > | 213954 | 7.2% |
| < | 213663 | 7.1% |
| 182080 | 6.1% | |
| / | 178398 | 6.0% |
| . | 112134 | 3.8% |
| " | 59611 | 2.0% |
| , | 52014 | 1.7% |
| - | 50818 | 1.7% |
| ; | 44558 | 1.5% |
| Other values (122) | 474735 | 15.9% |
| Value | Count | Frequency (%) |
| | 25 | 8.7% |
| ͗ | 6 | 2.1% |
| ̮ | 6 | 2.1% |
| ͋ | 6 | 2.1% |
| ͇ | 6 | 2.1% |
| ̤ | 5 | 1.7% |
| ̀ | 5 | 1.7% |
| ͤ | 5 | 1.7% |
| ̗ | 5 | 1.7% |
| ̱ | 5 | 1.7% |
| Other values (90) | 215 |
| Value | Count | Frequency (%) |
| e | 809309 | 11.7% |
| t | 620460 | 9.0% |
| o | 538281 | 7.8% |
| a | 467639 | 6.8% |
| i | 433918 | 6.3% |
| n | 420878 | 6.1% |
| r | 414914 | 6.0% |
| s | 389979 | 5.6% |
| l | 288910 | 4.2% |
| d | 275514 | 4.0% |
| Other values (86) | 2245798 |
| Value | Count | Frequency (%) |
| о | 17 | |
| а | 12 | 9.7% |
| к | 10 | 8.1% |
| н | 10 | 8.1% |
| е | 9 | 7.3% |
| т | 8 | 6.5% |
| и | 7 | 5.6% |
| с | 5 | 4.0% |
| Г | 4 | 3.2% |
| р | 4 | 3.2% |
| Other values (22) | 38 |
| Value | Count | Frequency (%) |
| 没 | 6 | |
| 有 | 6 | |
| 那 | 6 | |
| 个 | 6 | |
| 文 | 6 | |
| 件 | 6 | |
| 或 | 6 | |
| 目 | 6 | |
| 录 | 6 | |
| 草 | 3 | 4.6% |
| Other values (4) | 8 |
| Value | Count | Frequency (%) |
| 지 | 3 | 7.7% |
| 정 | 3 | 7.7% |
| 된 | 3 | 7.7% |
| 경 | 3 | 7.7% |
| 로 | 3 | 7.7% |
| 를 | 3 | 7.7% |
| 찾 | 3 | 7.7% |
| 을 | 3 | 7.7% |
| 수 | 3 | 7.7% |
| 없 | 3 | 7.7% |
| Other values (3) | 9 |
| Value | Count | Frequency (%) |
| Θ | 3 | |
| π | 2 | |
| ε | 2 | |
| ί | 2 | |
| ν | 2 | |
| α | 2 | |
| ι | 2 | |
| Ω | 1 | 6.2% |
| Value | Count | Frequency (%) |
| ב | 1 | |
| ר | 1 | |
| י | 1 | |
| צ | 1 | |
| ק | 1 | |
| ל | 1 | |
| ה | 1 |
| Value | Count | Frequency (%) |
| お | 1 | |
| は | 1 | |
| よ | 1 | |
| う | 1 |
| Value | Count | Frequency (%) |
| ಠ | 6 |
| Value | Count | Frequency (%) |
| ܫ | 2 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 9892819 | |
| Punctuation | 1018 | < 0.1% |
| None | 700 | < 0.1% |
| Box Drawing | 607 | < 0.1% |
| Diacriticals | 264 | < 0.1% |
| Cyrillic | 124 | < 0.1% |
| CJK | 65 | < 0.1% |
| Hangul | 39 | < 0.1% |
| Arrows | 30 | < 0.1% |
| Misc Symbols | 25 | < 0.1% |
| Other values (13) | 70 | < 0.1% |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1407644 | 14.2% | |
| e | 809309 | 8.2% |
| t | 620460 | 6.3% |
| o | 538281 | 5.4% |
| a | 467639 | 4.7% |
| i | 433918 | 4.4% |
| n | 420878 | 4.3% |
| r | 414914 | 4.2% |
| s | 389979 | 3.9% |
| l | 288910 | 2.9% |
| Other values (88) | 4100887 |
| Value | Count | Frequency (%) |
| ’ | 296 | |
| ” | 135 | |
| “ | 124 | |
| – | 82 | 8.1% |
| … | 70 | 6.9% |
| — | 69 | 6.8% |
| | 57 | 5.6% |
| ‘ | 48 | 4.7% |
| 28 | 2.8% | |
| | 25 | 2.5% |
| Other values (10) | 84 | 8.3% |
| Value | Count | Frequency (%) |
| 371 | ||
| ¦ | 48 | 6.9% |
| ö | 21 | 3.0% |
| 👩 | 20 | 2.9% |
| ä | 19 | 2.7% |
| å | 18 | 2.6% |
| × | 13 | 1.9% |
| é | 13 | 1.9% |
| 👧 | 10 | 1.4% |
| 👦 | 10 | 1.4% |
| Other values (68) | 157 |
| Value | Count | Frequency (%) |
| ➔ | 2 | |
| ➜ | 2 | |
| ❤ | 1 |
| Value | Count | Frequency (%) |
| ─ | 261 | |
| ═ | 120 | |
| ├ | 78 | 12.9% |
| │ | 56 | 9.2% |
| └ | 55 | 9.1% |
| ║ | 24 | 4.0% |
| ┬ | 5 | 0.8% |
| ╔ | 2 | 0.3% |
| ╗ | 2 | 0.3% |
| ╚ | 2 | 0.3% |
| Value | Count | Frequency (%) |
| 没 | 6 | |
| 有 | 6 | |
| 那 | 6 | |
| 个 | 6 | |
| 文 | 6 | |
| 件 | 6 | |
| 或 | 6 | |
| 目 | 6 | |
| 录 | 6 | |
| 草 | 3 | 4.6% |
| Other values (4) | 8 |
| Value | Count | Frequency (%) |
| 🟡 | 1 | |
| 🟢 | 1 |
| Value | Count | Frequency (%) |
| ⌘ | 9 |
| Value | Count | Frequency (%) |
| → | 21 | |
| ← | 3 | 10.0% |
| ⇧ | 2 | 6.7% |
| ↔ | 2 | 6.7% |
| ↑ | 1 | 3.3% |
| ↹ | 1 | 3.3% |
| Value | Count | Frequency (%) |
| ™ | 2 |
| Value | Count | Frequency (%) |
| ͗ | 6 | 2.3% |
| ̮ | 6 | 2.3% |
| ͋ | 6 | 2.3% |
| ͇ | 6 | 2.3% |
| ̤ | 5 | 1.9% |
| ̀ | 5 | 1.9% |
| ͤ | 5 | 1.9% |
| ̗ | 5 | 1.9% |
| ̱ | 5 | 1.9% |
| ̊ | 5 | 1.9% |
| Other values (89) | 210 |
| Value | Count | Frequency (%) |
| о | 17 | |
| а | 12 | 9.7% |
| к | 10 | 8.1% |
| н | 10 | 8.1% |
| е | 9 | 7.3% |
| т | 8 | 6.5% |
| и | 7 | 5.6% |
| с | 5 | 4.0% |
| Г | 4 | 3.2% |
| р | 4 | 3.2% |
| Other values (22) | 38 |
| Value | Count | Frequency (%) |
| ∞ | 2 | |
| ∃ | 2 | |
| √ | 1 | |
| ∀ | 1 | |
| ∉ | 1 | |
| ⊢ | 1 |
| Value | Count | Frequency (%) |
| � | 3 |
| Value | Count | Frequency (%) |
| 지 | 3 | 7.7% |
| 정 | 3 | 7.7% |
| 된 | 3 | 7.7% |
| 경 | 3 | 7.7% |
| 로 | 3 | 7.7% |
| 를 | 3 | 7.7% |
| 찾 | 3 | 7.7% |
| 을 | 3 | 7.7% |
| 수 | 3 | 7.7% |
| 없 | 3 | 7.7% |
| Other values (3) | 9 |
| Value | Count | Frequency (%) |
| ☺ | 12 | |
| ♨ | 4 | 16.0% |
| ♠ | 2 | 8.0% |
| ♥ | 2 | 8.0% |
| ♦ | 2 | 8.0% |
| ♣ | 2 | 8.0% |
| ☁ | 1 | 4.0% |
| Value | Count | Frequency (%) |
| ಠ | 6 |
| Value | Count | Frequency (%) |
| ◎ | 4 |
| Value | Count | Frequency (%) |
| ܫ | 2 |
| Value | Count | Frequency (%) |
| ˜ | 1 |
| Value | Count | Frequency (%) |
| お | 1 | |
| は | 1 | |
| よ | 1 | |
| う | 1 |
| Value | Count | Frequency (%) |
| ב | 1 | |
| ר | 1 | |
| י | 1 | |
| צ | 1 | |
| ק | 1 | |
| ל | 1 | |
| ה | 1 |
| Value | Count | Frequency (%) |
| ﹕ | 17 |
| Distinct | 9365 |
|---|---|
| Distinct (%) | 80.5% |
| Missing | 306 |
| Missing (%) | 2.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 629360.9859 |
|---|---|
| Minimum | 1 |
| Maximum | 11407978 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2187.4 |
| Q1 | 49887 |
| median | 234322 |
| Q3 | 759568 |
| 95-th percentile | 2629844.2 |
| Maximum | 11407978 |
| Range | 11407977 |
| Interquartile range (IQR) | 709681 |
Descriptive statistics
| Standard deviation | 1039230.318 |
|---|---|
| Coefficient of variation (CV) | 1.651246807 |
| Kurtosis | 17.64724265 |
| Mean | 629360.9859 |
| Median Absolute Deviation (MAD) | 218174 |
| Skewness | 3.53420404 |
| Sum | 7318838905 |
| Variance | 1.079999654 × 1012 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 63051 | 18 | 0.2% |
| 49153 | 15 | 0.1% |
| 179736 | 14 | 0.1% |
| 39677 | 13 | 0.1% |
| 4872 | 13 | 0.1% |
| 9951 | 13 | 0.1% |
| 4883 | 12 | 0.1% |
| 1384652 | 12 | 0.1% |
| 143378 | 12 | 0.1% |
| 15055 | 11 | 0.1% |
| Other values (9355) | 11496 | |
| (Missing) | 306 | 2.6% |
| Value | Count | Frequency (%) |
| 1 | 6 | |
| 3 | 1 | < 0.1% |
| 4 | 2 | < 0.1% |
| 5 | 1 | < 0.1% |
| 9 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 11407978 | 1 | |
| 11072841 | 1 | |
| 10892691 | 1 | |
| 10339589 | 1 | |
| 10133797 | 1 |
| Distinct | 1713 |
|---|---|
| Distinct (%) | 71.5% |
| Missing | 9539 |
| Missing (%) | 79.9% |
| Memory size | 93.4 KiB |
| Ray Vega | 12 |
|---|---|
| Dan | 11 |
| Tom | 10 |
| Tim | 10 |
| anon | 9 |
| Other values (1708) |
Length
| Max length | 25 |
|---|---|
| Median length | 8 |
| Mean length | 8.379799666 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20078 |
|---|---|
| Distinct characters | 80 |
| Distinct categories | 7 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 3 ? |
Unique
| Unique | 1352 ? |
|---|---|
| Unique (%) | 56.4% |
Sample
| 1st row | John Sheehan |
|---|---|
| 2nd row | swilliams |
| 3rd row | Oded |
| 4th row | Matt Sheppard |
| 5th row | Patrick McElhaney |
| Value | Count | Frequency (%) |
| Ray Vega | 12 | 0.1% |
| Dan | 11 | 0.1% |
| Tom | 10 | 0.1% |
| Tim | 10 | 0.1% |
| anon | 9 | 0.1% |
| J. Pablo Fernández | 9 | 0.1% |
| Claudiu | 9 | 0.1% |
| Simucal | 9 | 0.1% |
| Matt | 9 | 0.1% |
| Bill the Lizard | 8 | 0.1% |
| Other values (1703) | 2300 | 19.3% |
| (Missing) | 9539 |
| Value | Count | Frequency (%) |
| matt | 27 | 0.9% |
| brian | 24 | 0.8% |
| john | 22 | 0.7% |
| mark | 20 | 0.6% |
| chris | 19 | 0.6% |
| adam | 18 | 0.6% |
| dan | 18 | 0.6% |
| j | 16 | 0.5% |
| david | 16 | 0.5% |
| paul | 15 | 0.5% |
| Other values (1871) | 2977 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1711 | 8.5% |
| e | 1696 | 8.4% |
| r | 1313 | 6.5% |
| n | 1261 | 6.3% |
| o | 1192 | 5.9% |
| i | 1134 | 5.6% |
| s | 847 | 4.2% |
| 780 | 3.9% | |
| l | 779 | 3.9% |
| t | 764 | 3.8% |
| Other values (70) | 8601 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 15602 | |
| Uppercase Letter | 2647 | 13.2% |
| Decimal Number | 892 | 4.4% |
| Space Separator | 780 | 3.9% |
| Other Punctuation | 124 | 0.6% |
| Dash Punctuation | 20 | 0.1% |
| Connector Punctuation | 13 | 0.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| a | 1711 | 11.0% |
| e | 1696 | 10.9% |
| r | 1313 | 8.4% |
| n | 1261 | 8.1% |
| o | 1192 | 7.6% |
| i | 1134 | 7.3% |
| s | 847 | 5.4% |
| l | 779 | 5.0% |
| t | 764 | 4.9% |
| u | 550 | 3.5% |
| Other values (26) | 4355 |
| Value | Count | Frequency (%) |
| S | 243 | 9.2% |
| M | 240 | 9.1% |
| J | 202 | 7.6% |
| B | 186 | 7.0% |
| D | 177 | 6.7% |
| A | 174 | 6.6% |
| C | 171 | 6.5% |
| G | 135 | 5.1% |
| T | 133 | 5.0% |
| R | 126 | 4.8% |
| Other values (17) | 860 |
| Value | Count | Frequency (%) |
| 2 | 144 | |
| 1 | 118 | |
| 3 | 105 | |
| 0 | 98 | |
| 4 | 89 | |
| 9 | 73 | |
| 8 | 70 | |
| 5 | 69 | |
| 6 | 68 | |
| 7 | 58 |
| Value | Count | Frequency (%) |
| . | 61 | |
| & | 21 | 16.9% |
| # | 21 | 16.9% |
| ; | 21 | 16.9% |
| Value | Count | Frequency (%) |
| 780 |
| Value | Count | Frequency (%) |
| _ | 13 |
| Value | Count | Frequency (%) |
| - | 20 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 18249 | |
| Common | 1829 | 9.1% |
Most frequent character per script
| Value | Count | Frequency (%) |
| a | 1711 | 9.4% |
| e | 1696 | 9.3% |
| r | 1313 | 7.2% |
| n | 1261 | 6.9% |
| o | 1192 | 6.5% |
| i | 1134 | 6.2% |
| s | 847 | 4.6% |
| l | 779 | 4.3% |
| t | 764 | 4.2% |
| u | 550 | 3.0% |
| Other values (53) | 7002 |
| Value | Count | Frequency (%) |
| 780 | ||
| 2 | 144 | 7.9% |
| 1 | 118 | 6.5% |
| 3 | 105 | 5.7% |
| 0 | 98 | 5.4% |
| 4 | 89 | 4.9% |
| 9 | 73 | 4.0% |
| 8 | 70 | 3.8% |
| 5 | 69 | 3.8% |
| 6 | 68 | 3.7% |
| Other values (7) | 215 | 11.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20065 | |
| None | 8 | < 0.1% |
| IPA Ext | 5 | < 0.1% |
Most frequent character per block
| Value | Count | Frequency (%) |
| a | 1711 | 8.5% |
| e | 1696 | 8.5% |
| r | 1313 | 6.5% |
| n | 1261 | 6.3% |
| o | 1192 | 5.9% |
| i | 1134 | 5.7% |
| s | 847 | 4.2% |
| 780 | 3.9% | |
| l | 779 | 3.9% |
| t | 764 | 3.8% |
| Other values (59) | 8588 |
| Value | Count | Frequency (%) |
| Š | 2 | |
| ǝ | 2 | |
| š | 1 | |
| ź | 1 | |
| ń | 1 | |
| ı | 1 |
| Value | Count | Frequency (%) |
| ɐ | 1 | |
| ɯ | 1 | |
| ʃ | 1 | |
| ʞ | 1 | |
| ɔ | 1 |
| Distinct | 4744 |
|---|---|
| Distinct (%) | 42.5% |
| Missing | 776 |
| Missing (%) | 6.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2053495.456 |
|---|---|
| Minimum | -1 |
| Maximum | 15054795 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | -1 |
|---|---|
| 5-th percentile | -1 |
| Q1 | 135729.5 |
| median | 875915 |
| Q3 | 3064538 |
| 95-th percentile | 7906188 |
| Maximum | 15054795 |
| Range | 15054796 |
| Interquartile range (IQR) | 2928808.5 |
Descriptive statistics
| Standard deviation | 2685047.38 |
|---|---|
| Coefficient of variation (CV) | 1.307549706 |
| Kurtosis | 3.209228415 |
| Mean | 2053495.456 |
| Median Absolute Deviation (MAD) | 820128 |
| Skewness | 1.825662309 |
| Sum | 2.29149558 × 1010 |
| Variance | 7.209479434 × 1012 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 63550 | 755 | 6.3% |
| -1 | 591 | 5.0% |
| 6862601 | 107 | 0.9% |
| 1033581 | 106 | 0.9% |
| 355230 | 104 | 0.9% |
| 860099 | 90 | 0.8% |
| 806202 | 89 | 0.7% |
| 3924118 | 74 | 0.6% |
| 2756409 | 59 | 0.5% |
| 3885376 | 54 | 0.5% |
| Other values (4734) | 9130 | |
| (Missing) | 776 | 6.5% |
| Value | Count | Frequency (%) |
| -1 | 591 | |
| 1 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 23 | 1 | < 0.1% |
| 29 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 15054795 | 2 | |
| 14979760 | 1 | |
| 14868997 | 1 | |
| 14837094 | 1 | |
| 14638396 | 1 |
| Distinct | 907 |
|---|---|
| Distinct (%) | 52.9% |
| Missing | 10220 |
| Missing (%) | 85.6% |
| Memory size | 93.4 KiB |
| user456814 | 75 |
|---|---|
| Roger Pate | 29 |
| user212218 | 25 |
| Rich B | 22 |
| user166390 | 20 |
| Other values (902) |
Length
| Max length | 25 |
|---|---|
| Median length | 10 |
| Mean length | 9.232069971 |
| Min length | 2 |
Characters and Unicode
| Total characters | 15833 |
|---|---|
| Distinct characters | 82 |
| Distinct categories | 7 ? |
| Distinct scripts | 3 ? |
| Distinct blocks | 3 ? |
Unique
| Unique | 650 ? |
|---|---|
| Unique (%) | 37.9% |
Sample
| 1st row | John Sheehan |
|---|---|
| 2nd row | Jakub Šturc |
| 3rd row | ΤΖΩΤΖΙΟΥ |
| 4th row | Chris Fournier |
| 5th row | cynicalman |
| Value | Count | Frequency (%) |
| user456814 | 75 | 0.6% |
| Roger Pate | 29 | 0.2% |
| user212218 | 25 | 0.2% |
| Rich B | 22 | 0.2% |
| user166390 | 20 | 0.2% |
| J.F. Sebastian | 17 | 0.1% |
| Chris Hanson | 17 | 0.1% |
| user6269864 | 13 | 0.1% |
| Ned Batchelder | 12 | 0.1% |
| user1228 | 12 | 0.1% |
| Other values (897) | 1473 | 12.3% |
| (Missing) | 10220 |
| Value | Count | Frequency (%) |
| user456814 | 75 | 3.1% |
| chris | 43 | 1.8% |
| b | 30 | 1.2% |
| roger | 29 | 1.2% |
| pate | 29 | 1.2% |
| user212218 | 25 | 1.0% |
| brian | 24 | 1.0% |
| rich | 23 | 1.0% |
| john | 22 | 0.9% |
| mark | 21 | 0.9% |
| Other values (1062) | 2093 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 1353 | 8.5% |
| r | 1133 | 7.2% |
| a | 1057 | 6.7% |
| s | 803 | 5.1% |
| n | 801 | 5.1% |
| o | 783 | 4.9% |
| i | 734 | 4.6% |
| 703 | 4.4% | |
| u | 556 | 3.5% |
| t | 515 | 3.3% |
| Other values (72) | 7395 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10953 | |
| Decimal Number | 2191 | 13.8% |
| Uppercase Letter | 1882 | 11.9% |
| Space Separator | 703 | 4.4% |
| Other Punctuation | 99 | 0.6% |
| Dash Punctuation | 3 | < 0.1% |
| Connector Punctuation | 2 | < 0.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| B | 180 | 9.6% |
| J | 156 | 8.3% |
| M | 154 | 8.2% |
| R | 143 | 7.6% |
| S | 142 | 7.5% |
| C | 139 | 7.4% |
| A | 110 | 5.8% |
| D | 108 | 5.7% |
| G | 84 | 4.5% |
| P | 84 | 4.5% |
| Other values (23) | 582 |
| Value | Count | Frequency (%) |
| e | 1353 | |
| r | 1133 | |
| a | 1057 | 9.7% |
| s | 803 | 7.3% |
| n | 801 | 7.3% |
| o | 783 | 7.1% |
| i | 734 | 6.7% |
| u | 556 | 5.1% |
| t | 515 | 4.7% |
| l | 501 | 4.6% |
| Other values (22) | 2717 |
| Value | Count | Frequency (%) |
| 1 | 319 | |
| 6 | 303 | |
| 4 | 278 | |
| 8 | 255 | |
| 5 | 251 | |
| 2 | 222 | |
| 3 | 174 | |
| 9 | 167 | |
| 7 | 118 | 5.4% |
| 0 | 104 | 4.7% |
| Value | Count | Frequency (%) |
| . | 69 | |
| & | 10 | 10.1% |
| # | 10 | 10.1% |
| ; | 10 | 10.1% |
| Value | Count | Frequency (%) |
| 703 |
| Value | Count | Frequency (%) |
| - | 3 |
| Value | Count | Frequency (%) |
| _ | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12795 | |
| Common | 2998 | 18.9% |
| Greek | 40 | 0.3% |
Most frequent character per script
| Value | Count | Frequency (%) |
| e | 1353 | 10.6% |
| r | 1133 | 8.9% |
| a | 1057 | 8.3% |
| s | 803 | 6.3% |
| n | 801 | 6.3% |
| o | 783 | 6.1% |
| i | 734 | 5.7% |
| u | 556 | 4.3% |
| t | 515 | 4.0% |
| l | 501 | 3.9% |
| Other values (49) | 4559 |
| Value | Count | Frequency (%) |
| 703 | ||
| 1 | 319 | |
| 6 | 303 | |
| 4 | 278 | 9.3% |
| 8 | 255 | 8.5% |
| 5 | 251 | 8.4% |
| 2 | 222 | 7.4% |
| 3 | 174 | 5.8% |
| 9 | 167 | 5.6% |
| 7 | 118 | 3.9% |
| Other values (7) | 208 | 6.9% |
| Value | Count | Frequency (%) |
| Τ | 10 | |
| Ζ | 10 | |
| Ω | 5 | |
| Ι | 5 | |
| Ο | 5 | |
| Υ | 5 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 15784 | |
| None | 47 | 0.3% |
| IPA Ext | 2 | < 0.1% |
Most frequent character per block
| Value | Count | Frequency (%) |
| e | 1353 | 8.6% |
| r | 1133 | 7.2% |
| a | 1057 | 6.7% |
| s | 803 | 5.1% |
| n | 801 | 5.1% |
| o | 783 | 5.0% |
| i | 734 | 4.7% |
| 703 | 4.5% | |
| u | 556 | 3.5% |
| t | 515 | 3.3% |
| Other values (59) | 7346 |
| Value | Count | Frequency (%) |
| Τ | 10 | |
| Ζ | 10 | |
| Ω | 5 | |
| Ι | 5 | |
| Ο | 5 | |
| Υ | 5 | |
| Š | 3 | 6.4% |
| ź | 1 | 2.1% |
| ń | 1 | 2.1% |
| ć | 1 | 2.1% |
| Value | Count | Frequency (%) |
| ʞ | 1 | |
| ɔ | 1 |
| Distinct | 10984 |
|---|---|
| Distinct (%) | 97.1% |
| Missing | 620 |
| Missing (%) | 5.2% |
| Memory size | 93.4 KiB |
| 2020-06-20 09:12:55 | 106 |
|---|---|
| 2017-05-23 12:10:41 | 9 |
| 2017-05-23 12:34:45 | 8 |
| 2017-05-23 12:26:23 | 7 |
| 2017-05-23 12:18:22 | 7 |
| Other values (10979) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 214985 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 10871 ? |
|---|---|
| Unique (%) | 96.1% |
Sample
| 1st row | 2020-05-06 08:43:38 |
|---|---|
| 2nd row | 2013-12-11 17:09:20 |
| 3rd row | 2020-02-22 17:25:33 |
| 4th row | 2018-03-26 08:14:43 |
| 5th row | 2016-09-16 04:18:58 |
| Value | Count | Frequency (%) |
| 2020-06-20 09:12:55 | 106 | 0.9% |
| 2017-05-23 12:10:41 | 9 | 0.1% |
| 2017-05-23 12:34:45 | 8 | 0.1% |
| 2017-05-23 12:26:23 | 7 | 0.1% |
| 2017-05-23 12:18:22 | 7 | 0.1% |
| 2017-05-23 12:26:35 | 6 | 0.1% |
| 2017-05-23 11:55:10 | 6 | 0.1% |
| 2017-05-23 11:47:28 | 6 | 0.1% |
| 2017-05-23 10:31:38 | 5 | < 0.1% |
| 2017-05-23 11:33:26 | 5 | < 0.1% |
| Other values (10974) | 11150 | |
| (Missing) | 620 | 5.2% |
| Value | Count | Frequency (%) |
| 2017-05-23 | 437 | 1.9% |
| 2020-06-20 | 108 | 0.5% |
| 09:12:55 | 106 | 0.5% |
| 2020-04-19 | 48 | 0.2% |
| 2020-04-17 | 38 | 0.2% |
| 2017-03-22 | 21 | 0.1% |
| 2021-04-01 | 18 | 0.1% |
| 2019-02-27 | 16 | 0.1% |
| 2017-09-10 | 15 | 0.1% |
| 2018-11-02 | 14 | 0.1% |
| Other values (13738) | 21809 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 37934 | |
| 1 | 32772 | |
| 2 | 30177 | |
| - | 22630 | |
| : | 22630 | |
| 11315 | 5.3% | |
| 3 | 10761 | 5.0% |
| 5 | 10299 | 4.8% |
| 4 | 9740 | 4.5% |
| 9 | 7131 | 3.3% |
| Other values (3) | 19596 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 158410 | |
| Dash Punctuation | 22630 | 10.5% |
| Other Punctuation | 22630 | 10.5% |
| Space Separator | 11315 | 5.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 37934 | |
| 1 | 32772 | |
| 2 | 30177 | |
| 3 | 10761 | 6.8% |
| 5 | 10299 | 6.5% |
| 4 | 9740 | 6.1% |
| 9 | 7131 | 4.5% |
| 7 | 6913 | 4.4% |
| 8 | 6639 | 4.2% |
| 6 | 6044 | 3.8% |
| Value | Count | Frequency (%) |
| - | 22630 |
| Value | Count | Frequency (%) |
| 11315 |
| Value | Count | Frequency (%) |
| : | 22630 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 214985 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 37934 | |
| 1 | 32772 | |
| 2 | 30177 | |
| - | 22630 | |
| : | 22630 | |
| 11315 | 5.3% | |
| 3 | 10761 | 5.0% |
| 5 | 10299 | 4.8% |
| 4 | 9740 | 4.5% |
| 9 | 7131 | 3.3% |
| Other values (3) | 19596 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 214985 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 37934 | |
| 1 | 32772 | |
| 2 | 30177 | |
| - | 22630 | |
| : | 22630 | |
| 11315 | 5.3% | |
| 3 | 10761 | 5.0% |
| 5 | 10299 | 4.8% |
| 4 | 9740 | 4.5% |
| 9 | 7131 | 3.3% |
| Other values (3) | 19596 |
| Distinct | 11933 |
|---|---|
| Distinct (%) | > 99.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 93.4 KiB |
| 2020-01-31 06:45:01 | 2 |
|---|---|
| 2020-01-31 06:44:36 | 2 |
| 2020-02-13 17:07:39 | 1 |
| 2020-10-06 02:01:45 | 1 |
| 2021-03-24 06:23:06 | 1 |
| Other values (11928) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 226765 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 11931 ? |
|---|---|
| Unique (%) | > 99.9% |
Sample
| 1st row | 2020-09-27 11:39:24 |
|---|---|
| 2nd row | 2018-09-12 07:43:01 |
| 3rd row | 2020-12-16 18:32:49 |
| 4th row | 2021-01-14 02:35:41 |
| 5th row | 2021-02-28 21:59:41 |
| Value | Count | Frequency (%) |
| 2020-01-31 06:45:01 | 2 | < 0.1% |
| 2020-01-31 06:44:36 | 2 | < 0.1% |
| 2020-02-13 17:07:39 | 1 | < 0.1% |
| 2020-10-06 02:01:45 | 1 | < 0.1% |
| 2021-03-24 06:23:06 | 1 | < 0.1% |
| 2020-03-29 11:57:16 | 1 | < 0.1% |
| 2021-04-06 20:57:32 | 1 | < 0.1% |
| 2021-01-20 23:39:58 | 1 | < 0.1% |
| 2020-05-29 04:56:28 | 1 | < 0.1% |
| 2020-11-24 06:44:16 | 1 | < 0.1% |
| Other values (11923) | 11923 |
| Value | Count | Frequency (%) |
| 2021-04-07 | 84 | 0.4% |
| 2021-04-08 | 81 | 0.3% |
| 2021-04-06 | 71 | 0.3% |
| 2021-04-09 | 66 | 0.3% |
| 2021-03-24 | 65 | 0.3% |
| 2021-03-25 | 64 | 0.3% |
| 2021-03-31 | 63 | 0.3% |
| 2021-03-23 | 60 | 0.3% |
| 2021-04-02 | 59 | 0.2% |
| 2021-04-01 | 59 | 0.2% |
| Other values (13041) | 23198 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 43300 | |
| 2 | 37278 | |
| 1 | 31616 | |
| - | 23870 | |
| : | 23870 | |
| 11935 | 5.3% | |
| 3 | 11326 | 5.0% |
| 4 | 9793 | 4.3% |
| 5 | 9284 | 4.1% |
| 9 | 6990 | 3.1% |
| Other values (3) | 17503 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 167090 | |
| Dash Punctuation | 23870 | 10.5% |
| Other Punctuation | 23870 | 10.5% |
| Space Separator | 11935 | 5.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 43300 | |
| 2 | 37278 | |
| 1 | 31616 | |
| 3 | 11326 | 6.8% |
| 4 | 9793 | 5.9% |
| 5 | 9284 | 5.6% |
| 9 | 6990 | 4.2% |
| 8 | 6186 | 3.7% |
| 7 | 5783 | 3.5% |
| 6 | 5534 | 3.3% |
| Value | Count | Frequency (%) |
| - | 23870 |
| Value | Count | Frequency (%) |
| 11935 |
| Value | Count | Frequency (%) |
| : | 23870 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 226765 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 43300 | |
| 2 | 37278 | |
| 1 | 31616 | |
| - | 23870 | |
| : | 23870 | |
| 11935 | 5.3% | |
| 3 | 11326 | 5.0% |
| 4 | 9793 | 4.3% |
| 5 | 9284 | 4.1% |
| 9 | 6990 | 3.1% |
| Other values (3) | 17503 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 226765 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 43300 | |
| 2 | 37278 | |
| 1 | 31616 | |
| - | 23870 | |
| : | 23870 | |
| 11935 | 5.3% | |
| 3 | 11326 | 5.0% |
| 4 | 9793 | 4.3% |
| 5 | 9284 | 4.1% |
| 9 | 6990 | 3.1% |
| Other values (3) | 17503 |
| Distinct | 11935 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 93.4 KiB |
| How can I use Ruby to colorize the text output to a terminal? | 1 |
|---|---|
| How do I redirect in expressjs while passing some context? | 1 |
| Get MD5 hash of big files in Python | 1 |
| How to Free Inode Usage? | 1 |
| How can I stop .gitignore from appearing in the list of untracked files? | 1 |
| Other values (11930) |
Length
| Max length | 149 |
|---|---|
| Median length | 48 |
| Mean length | 50.38868873 |
| Min length | 13 |
Characters and Unicode
| Total characters | 601389 |
|---|---|
| Distinct characters | 116 |
| Distinct categories | 17 ? |
| Distinct scripts | 6 ? |
| Distinct blocks | 8 ? |
Unique
| Unique | 11935 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Dynamic LINQ OrderBy on IEnumerable<T> / IQueryable<T> |
|---|---|
| 2nd row | Prevent RequireJS from Caching Required Scripts |
| 3rd row | How do you rotate a two dimensional array? |
| 4th row | Best way to get identity of inserted row? |
| 5th row | How do you synchronise projects to GitHub with Android Studio? |
| Value | Count | Frequency (%) |
| How can I use Ruby to colorize the text output to a terminal? | 1 | < 0.1% |
| How do I redirect in expressjs while passing some context? | 1 | < 0.1% |
| Get MD5 hash of big files in Python | 1 | < 0.1% |
| How to Free Inode Usage? | 1 | < 0.1% |
| How can I stop .gitignore from appearing in the list of untracked files? | 1 | < 0.1% |
| Call a "local" function within module.exports from another function in module.exports? | 1 | < 0.1% |
| Get String in YYYYMMDD format from JS date object? | 1 | < 0.1% |
| jQuery Ajax calls and the Html.AntiForgeryToken() | 1 | < 0.1% |
| Add Bootstrap Glyphicon to Input Box | 1 | < 0.1% |
| How to remove focus border (outline) around text/input boxes? (Chrome) | 1 | < 0.1% |
| Other values (11925) | 11925 |
| Value | Count | Frequency (%) |
| to | 4252 | 4.2% |
| how | 3728 | 3.7% |
| in | 3637 | 3.6% |
| a | 3626 | 3.6% |
| the | 2507 | 2.5% |
| and | 1798 | 1.8% |
| is | 1568 | 1.5% |
| i | 1451 | 1.4% |
| of | 1366 | 1.3% |
| what | 1335 | 1.3% |
| Other values (8901) | 76489 |
Most occurring characters
| Value | Count | Frequency (%) |
| 89829 | ||
| e | 52406 | 8.7% |
| t | 41400 | 6.9% |
| o | 38077 | 6.3% |
| a | 36970 | 6.1% |
| n | 35151 | 5.8% |
| i | 34919 | 5.8% |
| r | 29138 | 4.8% |
| s | 26213 | 4.4% |
| l | 17461 | 2.9% |
| Other values (106) | 199825 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 448000 | |
| Space Separator | 89829 | 14.9% |
| Uppercase Letter | 41238 | 6.9% |
| Other Punctuation | 14451 | 2.4% |
| Decimal Number | 2072 | 0.3% |
| Dash Punctuation | 1532 | 0.3% |
| Open Punctuation | 1197 | 0.2% |
| Close Punctuation | 1192 | 0.2% |
| Math Symbol | 1154 | 0.2% |
| Connector Punctuation | 435 | 0.1% |
| Other values (7) | 289 | < 0.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| H | 4495 | 10.9% |
| S | 4314 | 10.5% |
| I | 3177 | 7.7% |
| C | 2706 | 6.6% |
| W | 2549 | 6.2% |
| P | 2541 | 6.2% |
| A | 2171 | 5.3% |
| T | 1842 | 4.5% |
| L | 1657 | 4.0% |
| D | 1577 | 3.8% |
| Other values (18) | 14209 |
| Value | Count | Frequency (%) |
| e | 52406 | |
| t | 41400 | 9.2% |
| o | 38077 | 8.5% |
| a | 36970 | 8.3% |
| n | 35151 | 7.8% |
| i | 34919 | 7.8% |
| r | 29138 | 6.5% |
| s | 26213 | 5.9% |
| l | 17461 | 3.9% |
| c | 17241 | 3.8% |
| Other values (17) | 119024 |
| Value | Count | Frequency (%) |
| ? | 6417 | |
| . | 1784 | 12.3% |
| " | 1369 | 9.5% |
| ' | 1303 | 9.0% |
| , | 1140 | 7.9% |
| : | 943 | 6.5% |
| / | 869 | 6.0% |
| # | 201 | 1.4% |
| * | 106 | 0.7% |
| @ | 93 | 0.6% |
| Other values (7) | 226 | 1.6% |
| Value | Count | Frequency (%) |
| 0 | 409 | |
| 1 | 355 | |
| 2 | 299 | |
| 3 | 208 | |
| 4 | 196 | |
| 8 | 157 | 7.6% |
| 6 | 154 | 7.4% |
| 5 | 142 | 6.9% |
| 7 | 98 | 4.7% |
| 9 | 54 | 2.6% |
| Value | Count | Frequency (%) |
| + | 601 | |
| > | 186 | 16.1% |
| < | 173 | 15.0% |
| = | 170 | 14.7% |
| ~ | 12 | 1.0% |
| | | 11 | 1.0% |
| → | 1 | 0.1% |
| Value | Count | Frequency (%) |
| ◎ | 2 | |
| 👩 | 2 | |
| ► | 1 | |
| ☺ | 1 | |
| 👧 | 1 | |
| 👦 | 1 |
| Value | Count | Frequency (%) |
| - | 1511 | |
| — | 11 | 0.7% |
| – | 10 | 0.7% |
| Value | Count | Frequency (%) |
| ( | 1098 | |
| [ | 78 | 6.5% |
| { | 21 | 1.8% |
| Value | Count | Frequency (%) |
| ) | 1097 | |
| ] | 74 | 6.2% |
| } | 21 | 1.8% |
| Value | Count | Frequency (%) |
| ` | 133 | |
| ^ | 11 | 7.6% |
| Value | Count | Frequency (%) |
| “ | 15 | |
| ‘ | 5 | 25.0% |
| Value | Count | Frequency (%) |
| ’ | 17 | |
| ” | 16 |
| Value | Count | Frequency (%) |
| | 3 | |
| | 1 | 25.0% |
| Value | Count | Frequency (%) |
| 89829 |
| Value | Count | Frequency (%) |
| $ | 79 |
| Value | Count | Frequency (%) |
| _ | 435 |
| Value | Count | Frequency (%) |
| ܫ | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 489234 | |
| Common | 112147 | 18.6% |
| Greek | 3 | < 0.1% |
| Inherited | 3 | < 0.1% |
| Syriac | 1 | < 0.1% |
| Cyrillic | 1 | < 0.1% |
Most frequent character per script
| Value | Count | Frequency (%) |
| 89829 | ||
| ? | 6417 | 5.7% |
| . | 1784 | 1.6% |
| - | 1511 | 1.3% |
| " | 1369 | 1.2% |
| ' | 1303 | 1.2% |
| , | 1140 | 1.0% |
| ( | 1098 | 1.0% |
| ) | 1097 | 1.0% |
| : | 943 | 0.8% |
| Other values (49) | 5656 | 5.0% |
| Value | Count | Frequency (%) |
| e | 52406 | 10.7% |
| t | 41400 | 8.5% |
| o | 38077 | 7.8% |
| a | 36970 | 7.6% |
| n | 35151 | 7.2% |
| i | 34919 | 7.1% |
| r | 29138 | 6.0% |
| s | 26213 | 5.4% |
| l | 17461 | 3.6% |
| c | 17241 | 3.5% |
| Other values (42) | 160258 |
| Value | Count | Frequency (%) |
| Θ | 2 | |
| π | 1 |
| Value | Count | Frequency (%) |
| ܫ | 1 |
| Value | Count | Frequency (%) |
| | 3 |
| Value | Count | Frequency (%) |
| Ө | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 601294 | |
| Punctuation | 80 | < 0.1% |
| None | 8 | < 0.1% |
| Geometric Shapes | 3 | < 0.1% |
| Syriac | 1 | < 0.1% |
| Misc Symbols | 1 | < 0.1% |
| Cyrillic | 1 | < 0.1% |
| Arrows | 1 | < 0.1% |
Most frequent character per block
| Value | Count | Frequency (%) |
| 89829 | ||
| e | 52406 | 8.7% |
| t | 41400 | 6.9% |
| o | 38077 | 6.3% |
| a | 36970 | 6.1% |
| n | 35151 | 5.8% |
| i | 34919 | 5.8% |
| r | 29138 | 4.8% |
| s | 26213 | 4.4% |
| l | 17461 | 2.9% |
| Other values (85) | 199730 |
| Value | Count | Frequency (%) |
| ’ | 17 | |
| ” | 16 | |
| “ | 15 | |
| — | 11 | |
| – | 10 | |
| ‘ | 5 | 6.2% |
| | 3 | 3.8% |
| … | 2 | 2.5% |
| | 1 | 1.2% |
| Value | Count | Frequency (%) |
| Θ | 2 | |
| 👩 | 2 | |
| π | 1 | |
| 👧 | 1 | |
| 👦 | 1 | |
| · | 1 |
| Value | Count | Frequency (%) |
| ◎ | 2 | |
| ► | 1 |
| Value | Count | Frequency (%) |
| ܫ | 1 |
| Value | Count | Frequency (%) |
| ☺ | 1 |
| Value | Count | Frequency (%) |
| Ө | 1 |
| Value | Count | Frequency (%) |
| → | 1 |
| Distinct | 10083 |
|---|---|
| Distinct (%) | 84.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 93.4 KiB |
| <git> | 148 |
|---|---|
| <javascript> | 57 |
| <python> | 41 |
| <html><css> | 32 |
| <git><github> | 30 |
| Other values (10078) |
Length
| Max length | 102 |
|---|---|
| Median length | 31 |
| Mean length | 32.78583997 |
| Min length | 3 |
Characters and Unicode
| Total characters | 391299 |
|---|---|
| Distinct characters | 42 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 9439 ? |
|---|---|
| Unique (%) | 79.1% |
Sample
| 1st row | <c#><linq><linq-to-objects> |
|---|---|
| 2nd row | <javascript><jquery><requirejs> |
| 3rd row | <algorithm><matrix><multidimensional-array> |
| 4th row | <sql><sql-server><tsql> |
| 5th row | <android><github><intellij-idea><android-studio> |
| Value | Count | Frequency (%) |
| <git> | 148 | 1.2% |
| <javascript> | 57 | 0.5% |
| <python> | 41 | 0.3% |
| <html><css> | 32 | 0.3% |
| <git><github> | 30 | 0.3% |
| <javascript><jquery> | 28 | 0.2% |
| <docker> | 27 | 0.2% |
| <python><pandas><dataframe> | 23 | 0.2% |
| <javascript><arrays> | 21 | 0.2% |
| <node.js> | 20 | 0.2% |
| Other values (10073) | 11508 |
| Value | Count | Frequency (%) |
| git | 148 | 1.2% |
| javascript | 57 | 0.5% |
| python | 41 | 0.3% |
| html><css | 32 | 0.3% |
| git><github | 30 | 0.3% |
| javascript><jquery | 28 | 0.2% |
| docker | 27 | 0.2% |
| python><pandas><dataframe | 23 | 0.2% |
| javascript><arrays | 21 | 0.2% |
| regex | 20 | 0.2% |
| Other values (10071) | 11508 |
Most occurring characters
| Value | Count | Frequency (%) |
| < | 38581 | 9.9% |
| > | 38581 | 9.9% |
| a | 25849 | 6.6% |
| e | 25742 | 6.6% |
| t | 24415 | 6.2% |
| i | 23650 | 6.0% |
| o | 21129 | 5.4% |
| r | 20965 | 5.4% |
| n | 20599 | 5.3% |
| s | 20499 | 5.2% |
| Other values (32) | 131289 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 297624 | |
| Math Symbol | 78596 | 20.1% |
| Dash Punctuation | 10927 | 2.8% |
| Decimal Number | 2174 | 0.6% |
| Other Punctuation | 1978 | 0.5% |
Most frequent character per category
| Value | Count | Frequency (%) |
| a | 25849 | 8.7% |
| e | 25742 | 8.6% |
| t | 24415 | 8.2% |
| i | 23650 | 7.9% |
| o | 21129 | 7.1% |
| r | 20965 | 7.0% |
| n | 20599 | 6.9% |
| s | 20499 | 6.9% |
| c | 15187 | 5.1% |
| l | 12312 | 4.1% |
| Other values (16) | 87277 |
| Value | Count | Frequency (%) |
| 2 | 400 | |
| 0 | 337 | |
| 1 | 302 | |
| 3 | 259 | |
| 4 | 216 | |
| 6 | 190 | |
| 8 | 185 | |
| 5 | 149 | 6.9% |
| 7 | 97 | 4.5% |
| 9 | 39 | 1.8% |
| Value | Count | Frequency (%) |
| < | 38581 | |
| > | 38581 | |
| + | 1434 | 1.8% |
| Value | Count | Frequency (%) |
| . | 1356 | |
| # | 622 |
| Value | Count | Frequency (%) |
| - | 10927 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 297624 | |
| Common | 93675 | 23.9% |
Most frequent character per script
| Value | Count | Frequency (%) |
| a | 25849 | 8.7% |
| e | 25742 | 8.6% |
| t | 24415 | 8.2% |
| i | 23650 | 7.9% |
| o | 21129 | 7.1% |
| r | 20965 | 7.0% |
| n | 20599 | 6.9% |
| s | 20499 | 6.9% |
| c | 15187 | 5.1% |
| l | 12312 | 4.1% |
| Other values (16) | 87277 |
| Value | Count | Frequency (%) |
| < | 38581 | |
| > | 38581 | |
| - | 10927 | 11.7% |
| + | 1434 | 1.5% |
| . | 1356 | 1.4% |
| # | 622 | 0.7% |
| 2 | 400 | 0.4% |
| 0 | 337 | 0.4% |
| 1 | 302 | 0.3% |
| 3 | 259 | 0.3% |
| Other values (6) | 876 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 391299 |
Most frequent character per block
| Value | Count | Frequency (%) |
| < | 38581 | 9.9% |
| > | 38581 | 9.9% |
| a | 25849 | 6.6% |
| e | 25742 | 6.6% |
| t | 24415 | 6.2% |
| i | 23650 | 6.0% |
| o | 21129 | 5.4% |
| r | 20965 | 5.4% |
| n | 20599 | 5.3% |
| s | 20499 | 5.2% |
| Other values (32) | 131289 |
AnswerCount
Real number (ℝ≥0)
| Distinct | 118 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.9777964 |
|---|---|
| Minimum | 1 |
| Maximum | 518 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 8 |
| median | 13 |
| Q3 | 20 |
| 95-th percentile | 37 |
| Maximum | 518 |
| Range | 517 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 14.4488636 |
|---|---|
| Coefficient of variation (CV) | 0.9043089075 |
| Kurtosis | 209.2596501 |
| Mean | 15.9777964 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 8.807920863 |
| Sum | 190695 |
| Variance | 208.7696595 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 10 | 637 | 5.3% |
| 8 | 636 | 5.3% |
| 12 | 597 | 5.0% |
| 7 | 596 | 5.0% |
| 9 | 593 | 5.0% |
| 11 | 579 | 4.9% |
| 6 | 543 | 4.5% |
| 5 | 541 | 4.5% |
| 14 | 500 | 4.2% |
| 13 | 481 | 4.0% |
| Other values (108) | 6232 |
| Value | Count | Frequency (%) |
| 1 | 102 | 0.9% |
| 2 | 224 | |
| 3 | 349 | |
| 4 | 452 | |
| 5 | 541 |
| Value | Count | Frequency (%) |
| 518 | 1 | |
| 407 | 1 | |
| 320 | 1 | |
| 296 | 1 | |
| 214 | 1 |
| Distinct | 46 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.537494763 |
|---|---|
| Minimum | 0 |
| Maximum | 61 |
| Zeros | 2501 |
| Zeros (%) | 21.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 5 |
| 95-th percentile | 11 |
| Maximum | 61 |
| Range | 61 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 4.167143976 |
|---|---|
| Coefficient of variation (CV) | 1.177992974 |
| Kurtosis | 19.19526346 |
| Mean | 3.537494763 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 3.121828554 |
| Sum | 42220 |
| Variance | 17.36508891 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 0 | 2501 | |
| 1 | 1941 | |
| 2 | 1634 | |
| 3 | 1402 | |
| 4 | 1080 | |
| 5 | 826 | 6.9% |
| 6 | 636 | 5.3% |
| 7 | 482 | 4.0% |
| 8 | 339 | 2.8% |
| 9 | 286 | 2.4% |
| Other values (36) | 808 | 6.8% |
| Value | Count | Frequency (%) |
| 0 | 2501 | |
| 1 | 1941 | |
| 2 | 1634 | |
| 3 | 1402 | |
| 4 | 1080 |
| Value | Count | Frequency (%) |
| 61 | 1 | |
| 57 | 1 | |
| 55 | 1 | |
| 50 | 1 | |
| 47 | 1 |
FavoriteCount
Real number (ℝ≥0)
| Distinct | 886 |
|---|---|
| Distinct (%) | 7.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 210.6356933 |
|---|---|
| Minimum | 81 |
| Maximum | 11317 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 93.4 KiB |
Quantile statistics
| Minimum | 81 |
|---|---|
| 5-th percentile | 84 |
| Q1 | 99 |
| median | 130 |
| Q3 | 207 |
| 95-th percentile | 541 |
| Maximum | 11317 |
| Range | 11236 |
| Interquartile range (IQR) | 108 |
Descriptive statistics
| Standard deviation | 339.6237681 |
|---|---|
| Coefficient of variation (CV) | 1.612375199 |
| Kurtosis | 303.2504586 |
| Mean | 210.6356933 |
| Median Absolute Deviation (MAD) | 39 |
| Skewness | 13.81748629 |
| Sum | 2513937 |
| Variance | 115344.3038 |
| Monotocity | Not monotonic |
| Value | Count | Frequency (%) |
| 82 | 203 | 1.7% |
| 85 | 195 | 1.6% |
| 81 | 194 | 1.6% |
| 86 | 184 | 1.5% |
| 84 | 179 | 1.5% |
| 87 | 178 | 1.5% |
| 88 | 176 | 1.5% |
| 92 | 174 | 1.5% |
| 90 | 174 | 1.5% |
| 83 | 172 | 1.4% |
| Other values (876) | 10106 |
| Value | Count | Frequency (%) |
| 81 | 194 | |
| 82 | 203 | |
| 83 | 172 | |
| 84 | 179 | |
| 85 | 195 |
| Value | Count | Frequency (%) |
| 11317 | 1 | |
| 11010 | 1 | |
| 7404 | 1 | |
| 7124 | 1 | |
| 6694 | 1 |
| Distinct | 1369 |
|---|---|
| Distinct (%) | 99.6% |
| Missing | 10560 |
| Missing (%) | 88.5% |
| Memory size | 93.4 KiB |
| 2020-02-02 13:32:29 | 3 |
|---|---|
| 2020-01-31 06:45:01 | 2 |
| 2020-01-31 06:45:02 | 2 |
| 2020-01-31 06:44:36 | 2 |
| 2020-02-02 13:30:21 | 2 |
| Other values (1364) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 26125 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 1364 ? |
|---|---|
| Unique (%) | 99.2% |
Sample
| 1st row | 2011-10-07 13:02:51 |
|---|---|
| 2nd row | 2012-02-29 16:53:12 |
| 3rd row | 2018-03-28 08:29:45 |
| 4th row | 2011-11-28 18:39:35 |
| 5th row | 2011-10-02 14:01:25 |
| Value | Count | Frequency (%) |
| 2020-02-02 13:32:29 | 3 | < 0.1% |
| 2020-01-31 06:45:01 | 2 | < 0.1% |
| 2020-01-31 06:45:02 | 2 | < 0.1% |
| 2020-01-31 06:44:36 | 2 | < 0.1% |
| 2020-02-02 13:30:21 | 2 | < 0.1% |
| 2019-12-02 16:15:01 | 1 | < 0.1% |
| 2013-11-26 00:13:35 | 1 | < 0.1% |
| 2016-12-23 03:04:45 | 1 | < 0.1% |
| 2015-03-20 16:09:27 | 1 | < 0.1% |
| 2009-07-01 20:54:21 | 1 | < 0.1% |
| Other values (1359) | 1359 | 11.4% |
| (Missing) | 10560 |
| Value | Count | Frequency (%) |
| 2020-01-31 | 21 | 0.8% |
| 2021-02-10 | 10 | 0.4% |
| 2020-02-02 | 6 | 0.2% |
| 2013-09-06 | 4 | 0.1% |
| 2019-12-18 | 4 | 0.1% |
| 2012-02-16 | 4 | 0.1% |
| 2017-04-07 | 4 | 0.1% |
| 2011-10-05 | 4 | 0.1% |
| 2013-01-11 | 3 | 0.1% |
| 2014-12-23 | 3 | 0.1% |
| Other values (2430) | 2687 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4554 | |
| 1 | 4136 | |
| 2 | 3629 | |
| - | 2750 | |
| : | 2750 | |
| 3 | 1474 | 5.6% |
| 1375 | 5.3% | |
| 4 | 1260 | 4.8% |
| 5 | 1200 | 4.6% |
| 6 | 783 | 3.0% |
| Other values (3) | 2214 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 19250 | |
| Dash Punctuation | 2750 | 10.5% |
| Other Punctuation | 2750 | 10.5% |
| Space Separator | 1375 | 5.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 4554 | |
| 1 | 4136 | |
| 2 | 3629 | |
| 3 | 1474 | 7.7% |
| 4 | 1260 | 6.5% |
| 5 | 1200 | 6.2% |
| 6 | 783 | 4.1% |
| 8 | 749 | 3.9% |
| 9 | 745 | 3.9% |
| 7 | 720 | 3.7% |
| Value | Count | Frequency (%) |
| - | 2750 |
| Value | Count | Frequency (%) |
| 1375 |
| Value | Count | Frequency (%) |
| : | 2750 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 26125 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 4554 | |
| 1 | 4136 | |
| 2 | 3629 | |
| - | 2750 | |
| : | 2750 | |
| 3 | 1474 | 5.6% |
| 1375 | 5.3% | |
| 4 | 1260 | 4.8% |
| 5 | 1200 | 4.6% |
| 6 | 783 | 3.0% |
| Other values (3) | 2214 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 26125 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 4554 | |
| 1 | 4136 | |
| 2 | 3629 | |
| - | 2750 | |
| : | 2750 | |
| 3 | 1474 | 5.6% |
| 1375 | 5.3% | |
| 4 | 1260 | 4.8% |
| 5 | 1200 | 4.6% |
| 6 | 783 | 3.0% |
| Other values (3) | 2214 |
| Distinct | 556 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 11379 |
| Missing (%) | 95.3% |
| Memory size | 93.4 KiB |
| 2009-02-18 18:32:02 | 1 |
|---|---|
| 2013-01-22 14:48:20 | 1 |
| 2008-10-21 21:02:34 | 1 |
| 2013-09-28 05:29:12 | 1 |
| 2008-10-29 17:09:40 | 1 |
| Other values (551) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 10564 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 556 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 2013-11-25 20:37:32 |
|---|---|
| 2nd row | 2009-01-07 20:14:42 |
| 3rd row | 2008-10-03 13:35:43 |
| 4th row | 2009-09-14 21:00:18 |
| 5th row | 2008-10-23 22:39:45 |
| Value | Count | Frequency (%) |
| 2009-02-18 18:32:02 | 1 | < 0.1% |
| 2013-01-22 14:48:20 | 1 | < 0.1% |
| 2008-10-21 21:02:34 | 1 | < 0.1% |
| 2013-09-28 05:29:12 | 1 | < 0.1% |
| 2008-10-29 17:09:40 | 1 | < 0.1% |
| 2010-02-16 18:51:14 | 1 | < 0.1% |
| 2008-09-30 06:28:53 | 1 | < 0.1% |
| 2012-11-12 21:30:59 | 1 | < 0.1% |
| 2009-01-11 20:02:42 | 1 | < 0.1% |
| 2012-08-01 15:16:15 | 1 | < 0.1% |
| Other values (546) | 546 | 4.6% |
| (Missing) | 11379 |
| Value | Count | Frequency (%) |
| 2008-09-19 | 16 | 1.4% |
| 2010-01-22 | 7 | 0.6% |
| 2008-10-01 | 5 | 0.4% |
| 2008-09-24 | 4 | 0.4% |
| 2009-01-07 | 4 | 0.4% |
| 2008-09-17 | 4 | 0.4% |
| 2008-09-16 | 4 | 0.4% |
| 2008-10-17 | 4 | 0.4% |
| 2009-01-02 | 3 | 0.3% |
| 2008-09-15 | 3 | 0.3% |
| Other values (990) | 1058 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2101 | |
| 1 | 1542 | |
| 2 | 1419 | |
| - | 1112 | |
| : | 1112 | |
| 556 | 5.3% | |
| 3 | 522 | 4.9% |
| 9 | 462 | 4.4% |
| 5 | 424 | 4.0% |
| 4 | 418 | 4.0% |
| Other values (3) | 896 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 7784 | |
| Dash Punctuation | 1112 | 10.5% |
| Other Punctuation | 1112 | 10.5% |
| Space Separator | 556 | 5.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 2101 | |
| 1 | 1542 | |
| 2 | 1419 | |
| 3 | 522 | 6.7% |
| 9 | 462 | 5.9% |
| 5 | 424 | 5.4% |
| 4 | 418 | 5.4% |
| 8 | 370 | 4.8% |
| 7 | 263 | 3.4% |
| 6 | 263 | 3.4% |
| Value | Count | Frequency (%) |
| - | 1112 |
| Value | Count | Frequency (%) |
| 556 |
| Value | Count | Frequency (%) |
| : | 1112 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 10564 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 2101 | |
| 1 | 1542 | |
| 2 | 1419 | |
| - | 1112 | |
| : | 1112 | |
| 556 | 5.3% | |
| 3 | 522 | 4.9% |
| 9 | 462 | 4.4% |
| 5 | 424 | 4.0% |
| 4 | 418 | 4.0% |
| Other values (3) | 896 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 10564 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 2101 | |
| 1 | 1542 | |
| 2 | 1419 | |
| - | 1112 | |
| : | 1112 | |
| 556 | 5.3% | |
| 3 | 522 | 4.9% |
| 9 | 462 | 4.4% |
| 5 | 424 | 4.0% |
| 4 | 418 | 4.0% |
| Other values (3) | 896 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 93.4 KiB |
| CC BY-SA 3.0 | |
|---|---|
| CC BY-SA 4.0 | |
| CC BY-SA 2.5 |
Length
| Max length | 12 |
|---|---|
| Median length | 12 |
| Mean length | 12 |
| Min length | 12 |
Characters and Unicode
| Total characters | 143220 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | CC BY-SA 4.0 |
|---|---|
| 2nd row | CC BY-SA 3.0 |
| 3rd row | CC BY-SA 4.0 |
| 4th row | CC BY-SA 3.0 |
| 5th row | CC BY-SA 3.0 |
| Value | Count | Frequency (%) |
| CC BY-SA 3.0 | 6851 | |
| CC BY-SA 4.0 | 3677 | |
| CC BY-SA 2.5 | 1407 | 11.8% |
| Value | Count | Frequency (%) |
| by-sa | 11935 | |
| cc | 11935 | |
| 3.0 | 6851 | |
| 4.0 | 3677 | 10.3% |
| 2.5 | 1407 | 3.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| C | 23870 | |
| 23870 | ||
| B | 11935 | |
| Y | 11935 | |
| - | 11935 | |
| S | 11935 | |
| A | 11935 | |
| . | 11935 | |
| 0 | 10528 | |
| 3 | 6851 | 4.8% |
| Other values (3) | 6491 | 4.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 71610 | |
| Space Separator | 23870 | 16.7% |
| Decimal Number | 23870 | 16.7% |
| Dash Punctuation | 11935 | 8.3% |
| Other Punctuation | 11935 | 8.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| C | 23870 | |
| B | 11935 | |
| Y | 11935 | |
| S | 11935 | |
| A | 11935 |
| Value | Count | Frequency (%) |
| 0 | 10528 | |
| 3 | 6851 | |
| 4 | 3677 | 15.4% |
| 2 | 1407 | 5.9% |
| 5 | 1407 | 5.9% |
| Value | Count | Frequency (%) |
| 23870 |
| Value | Count | Frequency (%) |
| - | 11935 |
| Value | Count | Frequency (%) |
| . | 11935 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 71610 | |
| Common | 71610 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 23870 | ||
| - | 11935 | |
| . | 11935 | |
| 0 | 10528 | |
| 3 | 6851 | 9.6% |
| 4 | 3677 | 5.1% |
| 2 | 1407 | 2.0% |
| 5 | 1407 | 2.0% |
| Value | Count | Frequency (%) |
| C | 23870 | |
| B | 11935 | |
| Y | 11935 | |
| S | 11935 | |
| A | 11935 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 143220 |
Most frequent character per block
| Value | Count | Frequency (%) |
| C | 23870 | |
| 23870 | ||
| B | 11935 | |
| Y | 11935 | |
| - | 11935 | |
| S | 11935 | |
| A | 11935 | |
| . | 11935 | |
| 0 | 10528 | |
| 3 | 6851 | 4.8% |
| Other values (3) | 6491 | 4.5% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.First rows
| Id | PostTypeId | AcceptedAnswerId | ParentId | CreationDate | DeletionDate | Score | ViewCount | Body | OwnerUserId | OwnerDisplayName | LastEditorUserId | LastEditorDisplayName | LastEditDate | LastActivityDate | Title | Tags | AnswerCount | CommentCount | FavoriteCount | ClosedDate | CommunityOwnedDate | ContentLicense | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 41244 | 1 | 233505.0 | NaN | 2008-09-03 06:30:31 | NaN | 690 | 283067 | <p>I found an example in the <a href="http://msdn2.microsoft.com/en-us/bb330936.aspx" rel="noreferrer">VS2008 Examples</a> for Dynamic LINQ that allows you to use a sql-like string (e.g. <code>OrderBy("Name, Age DESC"))</code> for ordering. Unfortunately, the method included only works on <code>IQueryable<T></code>. Is there any way to get this functionality on <code>IEnumerable<T></code>?</p>\n | 1786.0 | John Sheehan | 5519709.0 | John Sheehan | 2020-05-06 08:43:38 | 2020-09-27 11:39:24 | Dynamic LINQ OrderBy on IEnumerable<T> / IQueryable<T> | <c#><linq><linq-to-objects> | 20 | 1 | 440 | NaN | NaN | CC BY-SA 4.0 |
| 1 | 8315088 | 1 | 8479953.0 | NaN | 2011-11-29 17:30:29 | NaN | 302 | 108680 | <p>RequireJS seems to do something internally that caches required javascript files. If I make a change to one of the required files, I have to rename the file in order for the changes to be applied. </p>\n\n<p>The common trick of appending a version number as a querystring param to the end of the filename does not work with requirejs <code><script src="jsfile.js?v2"></script></code> </p>\n\n<p>What I am looking for is a way to prevent this internal cacheing of RequireJS required scripts without having to rename my script files every time they are updated.</p>\n\n<p><strong>Cross-Platform Solution:</strong></p>\n\n<p>I am now using <code>urlArgs: "bust=" + (new Date()).getTime()</code> for automatic cache-busting during development and <code>urlArgs: "bust=v2"</code> for production where I increment the hard-coded version num after rolling out an updated required script.</p>\n\n<p><strong>Note:</strong></p>\n\n<p>@Dustin Getz mentioned in a recent answer that Chrome Developer Tools will drop breakpoints during debugging when Javascript files are continuously refreshed like this. One workaround is to write <code>debugger;</code> in code to trigger a breakpoint in most Javascript debuggers.</p>\n\n<p><strong>Server-Specific Solutions:</strong></p>\n\n<p>For specific solutions that may work better for your server environment such as Node or Apache, see some of the answers below.</p>\n | 285714.0 | NaN | 285714.0 | NaN | 2013-12-11 17:09:20 | 2018-09-12 07:43:01 | Prevent RequireJS from Caching Required Scripts | <javascript><jquery><requirejs> | 12 | 6 | 116 | NaN | NaN | CC BY-SA 3.0 |
| 2 | 42519 | 1 | 42535.0 | NaN | 2008-09-03 20:34:33 | NaN | 323 | 333094 | <p>Inspired by <a href="https://devblogs.microsoft.com/oldnewthing/20080902-00/?p=21003" rel="noreferrer">Raymond Chen's post</a>, say you have a 4x4 two dimensional array, write a function that rotates it 90 degrees. Raymond links to a solution in pseudo code, but I'd like to see some real world stuff.</p>\n\n<pre><code>[1][2][3][4]\n[5][6][7][8]\n[9][0][1][2]\n[3][4][5][6]\n</code></pre>\n\n<p>Becomes:</p>\n\n<pre><code>[3][9][5][1]\n[4][0][6][2]\n[5][1][7][3]\n[6][2][8][4]\n</code></pre>\n\n<p><strong>Update</strong>: Nick's answer is the most straightforward, but is there a way to do it better than n^2? What if the matrix was 10000x10000?</p>\n | 736.0 | swilliams | 4415734.0 | Jakub Šturc | 2020-02-22 17:25:33 | 2020-12-16 18:32:49 | How do you rotate a two dimensional array? | <algorithm><matrix><multidimensional-array> | 63 | 13 | 221 | NaN | 2013-11-25 20:37:32 | CC BY-SA 4.0 |
| 3 | 42648 | 1 | 42655.0 | NaN | 2008-09-03 21:32:02 | NaN | 1202 | 953268 | <p>What is the best way to get <code>IDENTITY</code> of inserted row?</p>\n\n<p>I know about <code>@@IDENTITY</code> and <code>IDENT_CURRENT</code> and <code>SCOPE_IDENTITY</code> but don't understand the pros and cons attached to each.</p>\n\n<p>Can someone please explain the differences and when I should be using each?</p>\n | 1583.0 | Oded | 3876565.0 | NaN | 2018-03-26 08:14:43 | 2021-01-14 02:35:41 | Best way to get identity of inserted row? | <sql><sql-server><tsql> | 14 | 4 | 348 | NaN | NaN | CC BY-SA 3.0 |
| 4 | 16644946 | 1 | 16682570.0 | NaN | 2013-05-20 07:53:02 | NaN | 210 | 321230 | <p>I am trying to synchronise a project that I have on in my Android Studio folder to GitHub, but I am not fully sure what to do other than adding my credentials in the options menu. Could someone give me a quick guide, please?</p>\n | 1342580.0 | NaN | 63550.0 | NaN | 2016-09-16 04:18:58 | 2021-02-28 21:59:41 | How do you synchronise projects to GitHub with Android Studio? | <android><github><intellij-idea><android-studio> | 13 | 0 | 95 | NaN | NaN | CC BY-SA 3.0 |
| 5 | 45015 | 1 | 5686237.0 | NaN | 2008-09-05 00:12:01 | NaN | 1393 | 1312306 | <p>Given a string of JSON data, how can I safely turn that string into a JavaScript object?</p>\n\n<p>Obviously I can do this unsafely with something like:</p>\n\n<pre><code>var obj = eval("(" + json + ')');\n</code></pre>\n\n<p>but that leaves me vulnerable to the JSON string containing other code, which it seems very dangerous to simply eval.</p>\n | 797.0 | Matt Sheppard | 860099.0 | NaN | 2020-09-21 12:15:56 | 2020-09-21 12:15:56 | Safely turning a JSON string into an object | <javascript><json><parsing> | 28 | 5 | 224 | NaN | NaN | CC BY-SA 4.0 |
| 6 | 10564 | 1 | 773973.0 | NaN | 2008-08-14 01:43:04 | NaN | 585 | 341505 | <p>I'm trying out <strong>Git on Windows</strong>. I got to the point of trying "git commit" and I got this error:</p>\n\n<blockquote>\n <p>Terminal is dumb but no VISUAL nor\n EDITOR defined. Please supply the\n message using either -m or -F option.</p>\n</blockquote>\n\n<p>So I figured out I need to have an environment variable called EDITOR. No problem. I set it to point to Notepad. That worked, almost. The default commit message opens in Notepad. But Notepad doesn't support bare line feeds. I went out and got <a href="http://notepad-plus.sourceforge.net/uk/site.htm" rel="noreferrer">Notepad++</a>, but I can't figure out how to get Notepad++ set up as the <code>%EDITOR%</code> in such a way that it works with Git as expected.</p>\n\n<p>I'm not married to Notepad++. At this point I don't mind what editor I use. I just want to be able to <strong>type commit messages in an editor</strong> rather than the command line (with <code>-m</code>).</p>\n\n<p>Those of you using Git on Windows: What tool do you use to edit your commit messages, and what did you have to do to make it work?</p>\n | 437.0 | Patrick McElhaney | 1002260.0 | ΤΖΩΤΖΙΟΥ | 2016-12-24 17:26:04 | 2020-12-18 10:49:47 | How can I set up an editor to work with Git on Windows? | <windows><git><cygwin><editor> | 34 | 6 | 289 | NaN | NaN | CC BY-SA 2.5 |
| 7 | 24965 | 1 | 25203.0 | NaN | 2008-08-24 10:43:17 | NaN | 43 | 20579 | <p>OK, I know there have already been questions about <a href="https://stackoverflow.com/questions/4303/why-should-i-practice-test-driven-development-and-how-should-i-start">getting started with TDD</a>.. However, I guess I kind of know the general concensus is to <em>just do it</em> , However, I seem to have the following problems getting my head into the game:</p>\n\n<ul>\n<li>When working with collections, do will still test for obvious add/remove/inserts successful, even when based on Generics etc where we kind of "know" its going to work?</li>\n<li>Some tests seem to take forever to implement.. Such as when working with string output, is there a "better" way to go about this sort of thing? (e.g. test the object model before parsing, break parsing down into small ops and test there) In my mind you should always test the "end result" but that can vary wildly and be tedious to set up.</li>\n<li>I don't have a testing framework to use (work wont pay for one) so I can "practice" more. Are there any good ones that are free for commercial use? (at the moment I am using good 'ol <em>Debug.Assert</em> :)</li>\n<li>Probably the biggest.. Sometimes I don't know what to expect <em>NOT</em> to happen.. I mean, you get your green light but I am always concerned that I may be missing a test.. Do you dig deeper to try and break the code, or leave it be and wait for it all fall over later (which will cost more)..</li>\n</ul>\n\n<p>So basically what I am looking for here is not a " <em>just do it</em> " but more " <em>I did this, had problems with this, solved them by this</em> ".. The <strong>personal</strong> experience :)</p>\n | 832.0 | Rob Cooper | -1.0 | Chris Fournier | 2017-05-23 12:34:45 | 2011-08-27 20:33:46 | Beginning TDD - Challenges? Solutions? Recommendations? | <unit-testing><language-agnostic><tdd> | 11 | 0 | 117 | 2011-10-07 13:02:51 | NaN | CC BY-SA 2.5 |
| 8 | 26255 | 1 | 60396.0 | NaN | 2008-08-25 15:29:39 | NaN | 163 | 68763 | <p>What JavaScript keywords (function names, variables, etc) are reserved?</p>\n | 399.0 | Titanous | 122643.0 | NaN | 2018-01-15 00:16:53 | 2021-01-28 11:57:03 | Reserved keywords in JavaScript | <javascript><reserved-words> | 8 | 1 | 94 | NaN | NaN | CC BY-SA 3.0 |
| 9 | 58306 | 1 | 58446.0 | NaN | 2008-09-12 04:36:51 | NaN | 117 | 98489 | <p>I am trying to determine the best time efficient algorithm to accomplish the task described below.</p>\n\n<p>I have a set of records. For this set of records I have connection data which indicates how pairs of records from this set connect to one another. This basically represents an undirected graph, with the records being the vertices and the connection data the edges.</p>\n\n<p>All of the records in the set have connection information (i.e. no orphan records are present; each record in the set connects to one or more other records in the set).</p>\n\n<p>I want to choose any two records from the set and be able to show all simple paths between the chosen records. By "simple paths" I mean the paths which do not have repeated records in the path (i.e. finite paths only).</p>\n\n<p>Note: The two chosen records will always be different (i.e. start and end vertex will never be the same; no cycles).</p>\n\n<p>For example:</p>\n\n<pre>\n If I have the following records:\n A, B, C, D, E\n\n and the following represents the connections: \n (A,B),(A,C),(B,A),(B,D),(B,E),(B,F),(C,A),(C,E),\n (C,F),(D,B),(E,C),(E,F),(F,B),(F,C),(F,E)\n\n [where (A,B) means record A connects to record B]\n</pre>\n\n<p>If I chose B as my starting record and E as my ending record, I would want to find all simple paths through the record connections that would connect record B to record E.</p>\n\n<pre>\n All paths connecting B to E:\n B->E\n B->F->E\n B->F->C->E\n B->A->C->E\n B->A->C->F->E\n</pre>\n\n<p>This is an example, in practice I may have sets containing hundreds of thousands of records.</p>\n | 3534.0 | Robert | 1571709.0 | cynicalman | 2017-03-23 00:30:31 | 2017-03-23 00:30:31 | Graph Algorithm To Find All Connections Between Two Arbitrary Vertices | <algorithm><language-agnostic><graph-theory> | 16 | 3 | 94 | NaN | NaN | CC BY-SA 3.0 |
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| Id | PostTypeId | AcceptedAnswerId | ParentId | CreationDate | DeletionDate | Score | ViewCount | Body | OwnerUserId | OwnerDisplayName | LastEditorUserId | LastEditorDisplayName | LastEditDate | LastActivityDate | Title | Tags | AnswerCount | CommentCount | FavoriteCount | ClosedDate | CommunityOwnedDate | ContentLicense | |
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| 11925 | 41060382 | 1 | 43729857.0 | NaN | 2016-12-09 12:20:55 | NaN | 245 | 414074 | <p>conda 4.2.13\nMacOSX 10.12.1</p>\n\n<p>I am trying to install packages from <code>pip</code> to a fresh environment (virtual) created using anaconda. <a href="http://conda.pydata.org/docs/using/pkgs.html#install-non-conda-packages" rel="noreferrer">In the Anaconda docs</a> it says this is perfectly fine. It is done the same way as for virtualenv. </p>\n\n<blockquote>\n <p>Activate the environment where you want to put the program, then pip install a program...</p>\n</blockquote>\n\n<p>I created an empty environment in Ananconda like this:</p>\n\n<pre><code>conda create -n shrink_venv\n</code></pre>\n\n<p>Activate it:</p>\n\n<pre><code>source activate shrink_venv\n</code></pre>\n\n<p>I then can see in the terminal that I am working in my env <code>(shrink_venv)</code>. Problem is coming up, when I try to install a package using <code>pip</code>:</p>\n\n<pre><code>(shrink_venv): pip install Pillow\n\nRequirement already satisfied (use --upgrade to upgrade): Pillow in /Library/Python/2.7/site-packages\n</code></pre>\n\n<p>So I can see it thinks the requirement is satisfied from the system-wide package. So it seems the environment is not working correctly, definitely not like it said in the docs. Am I doing something wrong here?</p>\n\n<p>Just a note, I know you can use <code>conda install</code> for the packages, but I have had an issue with Pillow from anaconda, so I wanted to get it from <code>pip</code>, and since the docs say that is fine.</p>\n\n<p>Output of <code>which -a pip</code>:</p>\n\n<pre><code>/usr/local/bin/pip\n/Users/my_user/anaconda/bin/pip\n</code></pre>\n\n<p>** UPDATE **\nI see this is pretty common issue. What I have found is that the conda env doesn't play well with the PYTHONPATH. The system seems to always look in the PYTHONPATH locations even when you're using a conda environment. Now, I always run <code>unset PYTHONPATH</code> when using a conda environment, and it works much better. I'm on a mac.</p>\n | 959306.0 | NaN | 959306.0 | NaN | 2018-10-24 14:02:24 | 2021-02-10 19:20:52 | Using Pip to install packages to Anaconda Environment | <python><pip><anaconda><environment> | 15 | 10 | 131 | NaN | NaN | CC BY-SA 4.0 |
| 11926 | 40801772 | 1 | NaN | NaN | 2016-11-25 09:39:10 | NaN | 609 | 307159 | <p>What is the difference between <code>ports</code> and <code>expose</code> options in <code>docker-compose.yml</code></p>\n | 84143.0 | NaN | 4516110.0 | NaN | 2019-02-26 09:47:22 | 2021-04-10 03:07:19 | What is the difference between docker-compose ports vs expose | <docker><docker-compose> | 5 | 0 | 133 | NaN | NaN | CC BY-SA 4.0 |
| 11927 | 40987309 | 1 | 40988672.0 | NaN | 2016-12-06 03:23:50 | NaN | 184 | 323838 | <p>This is an example from Google Adsense application page. The loading screen displayed before the main page showed after.</p>\n\n<p><a href="https://i.stack.imgur.com/ngk1r.gif" rel="noreferrer"><img src="https://i.stack.imgur.com/ngk1r.gif" alt="enter image description here"></a></p>\n\n<p>I don't know how to do the same thing with React because if I make loading screen rendered by React component, it doesn't display while page is loading because it has to wait for DOM rendered before.</p>\n\n<p><strong>Updated</strong>:</p>\n\n<p>I made an example of my approach by putting screen loader in <code>index.html</code> and remove it in React <code>componentDidMount()</code> lifecycle method.</p>\n\n<p><a href="https://nguyenbathanh.github.io" rel="noreferrer">Example</a> and <a href="https://github.com/nguyenbathanh/react-loading-screen" rel="noreferrer">react-loading-screen</a>.</p>\n | 1550476.0 | NaN | 11673149.0 | NaN | 2019-08-17 08:10:24 | 2020-11-13 05:16:38 | React - Display loading screen while DOM is rendering? | <reactjs><asynchronous><redux> | 19 | 3 | 99 | NaN | NaN | CC BY-SA 4.0 |
| 11928 | 40703675 | 1 | 40704083.0 | NaN | 2016-11-20 11:51:03 | NaN | 193 | 41750 | <p>Came to know that from <strong>React v15.3.0</strong>, we have a new base class called <strong>PureComponent</strong> to extend with <strong>PureRenderMixin</strong> built-in. What I understand is that, under the hood this employs a shallow comparison of props inside <code>shouldComponentUpdate</code>.</p>\n<p>Now we have 3 ways to define a React component:</p>\n<ol>\n<li>Functional stateless component which doesn't extend any class</li>\n<li>A component that extends <code>PureComponent</code> class</li>\n<li>A normal component that extends <code>Component</code> class</li>\n</ol>\n<p>Some time back we used to call stateless components as Pure Components, or even Dumb Components. Seems like the whole definition of the word "pure" has now changed in React.</p>\n<p>Although I understand basic differences between these three, I am still not sure <strong>when to choose what</strong>. Also what are the performance impacts and trade-offs of each?</p>\n<hr />\n<h3><strong>Update</strong>:</h3>\n<p>These are the question I expect to get clarified:</p>\n<ul>\n<li>Should I choose to define my simple components as functional (for the sake of simplicity) or extend <code>PureComponent</code> class (for performance sake)?</li>\n<li>Is the performance boost that I get a real trade-off for the\nsimplicity I lost?</li>\n<li>Would I ever need to extend the normal <code>Component</code> class when I can always use <code>PureComponent</code> for better performance?</li>\n</ul>\n | 5069226.0 | NaN | -1.0 | NaN | 2020-06-20 09:12:55 | 2019-02-15 18:01:24 | React functional stateless component, PureComponent, Component; what are the differences and when should we use what? | <javascript><reactjs><ecmascript-6> | 3 | 0 | 120 | NaN | NaN | CC BY-SA 3.0 |
| 11929 | 40729535 | 1 | 50255986.0 | NaN | 2016-11-21 21:15:29 | NaN | 374 | 101834 | <p>I'm trying out the new VS 2017 RC and wondering if anyone knows how to get the previous debugging behavior back</p>\n\n<p>In VS 2015 it went like this:</p>\n\n<p>Press start debugging</p>\n\n<ul>\n<li>Website opens in new Chrome tab</li>\n<li>Press stop debugging</li>\n<li>Website is still open and the site is still running/active</li>\n</ul>\n\n<p>Now in 2017:</p>\n\n<ul>\n<li>Press start debugging</li>\n<li>Website opens in new window that can't dock with any other Chrome windows/tabs</li>\n<li>Press stop debugging</li>\n<li>Website/Chrome window closes, can't continue using the site unless I manually go to the localhost window in Chrome</li>\n</ul>\n\n<p>Is it possible in 2017 to switch back to the 2015 style? So the Chrome/Website window can dock with other Chrome windows/tabs, and it stays open after you stop debugging?</p>\n\n<p>Additionally, I find the new Chrome window frustrating to use, as it seems not to have any history/content available. E.g I can't autocomplete forms or urls, which is very annoying when I'm trying to test a form</p>\n | 290328.0 | NaN | 290328.0 | NaN | 2016-11-22 03:00:33 | 2019-05-03 19:15:37 | How to stop browser closing automatically when you stop debugging on VS 2017 | <visual-studio><visual-studio-2017> | 6 | 0 | 81 | NaN | NaN | CC BY-SA 3.0 |
| 11930 | 21194934 | 1 | 26815894.0 | NaN | 2014-01-17 20:08:41 | NaN | 804 | 576258 | <p>Is this the right way to create a directory if it doesn't exist.\nIt should have full permission for the script and readable by others.</p>\n\n<pre><code>var dir = __dirname + '/upload';\nif (!path.existsSync(dir)) {\n fs.mkdirSync(dir, 0744);\n}\n</code></pre>\n | 356380.0 | NaN | 7080548.0 | NaN | 2019-10-29 14:40:12 | 2020-12-03 17:43:31 | How to create a directory if it doesn't exist using Node.js? | <node.js> | 19 | 2 | 98 | NaN | NaN | CC BY-SA 4.0 |
| 11931 | 48910876 | 1 | 51024493.0 | NaN | 2018-02-21 16:30:30 | NaN | 449 | 387510 | <p>What might be causing the error <code>Error: EACCES: permission denied, access '/usr/local/lib/node_modules'</code>?</p>\n\n<pre><code>npm ERR! path /usr/local/lib/node_modules\nnpm ERR! code EACCES\nnpm ERR! errno -13\nnpm ERR! syscall access\nnpm ERR! Error: EACCES: permission denied, access '/usr/local/lib/node_modules'\nnpm ERR! { Error: EACCES: permission denied, access '/usr/local/lib/node_modules'\nnpm ERR! errno: -13,\nnpm ERR! code: 'EACCES',\nnpm ERR! syscall: 'access',\nnpm ERR! path: '/usr/local/lib/node_modules' }\nnpm ERR! \nnpm ERR! Please try running this command again as root/Administrator.\n\nnpm ERR! A complete log of this run can be found in:\nnpm ERR! /Users/macbookmd101/.npm/_logs/2018-02-21T16_26_08_421Z-debug.log\n</code></pre>\n | 9322906.0 | NaN | 2745495.0 | NaN | 2020-08-24 09:40:32 | 2021-02-19 14:13:57 | Error: EACCES: permission denied, access '/usr/local/lib/node_modules' | <node.js><npm><permission-denied> | 34 | 1 | 120 | NaN | NaN | CC BY-SA 4.0 |
| 11932 | 13813254 | 1 | 13813255.0 | NaN | 2012-12-11 03:39:53 | NaN | 313 | 539380 | <p>Q1. Suppose I want to alter the look of each "item" that a user marks for deletion before the main "delete" button is pressed. (This immediate visual feedback should eliminate the need for the proverbial "are you sure?" dialog box.) The user will check checkboxes to indicate which items should be deleted. If a checkbox is unchecked, that item should revert back to its normal look.</p>\n\n<p>What's the best way to apply or remove the CSS styling?</p>\n\n<p>Q2. Suppose I want to allow each user to personalize how my site is presented. E.g., select from a fixed set of font sizes, allow user-definable foreground and background colors, etc.</p>\n\n<p>What's the best way to apply the CSS styling the user selects/inputs?</p>\n | 215945.0 | NaN | NaN | NaN | NaN | 2019-02-08 15:14:05 | How do I conditionally apply CSS styles in AngularJS? | <css><angularjs> | 14 | 1 | 160 | NaN | NaN | CC BY-SA 3.0 |
| 11933 | 33022662 | 1 | 33023788.0 | NaN | 2015-10-08 17:48:07 | NaN | 160 | 66470 | <p>I want to build an app that centers around getting the user's current location and then find points of interest(such as bars,restaurants,etc) that are close to him/her via the <strong>Google Places API</strong>. </p>\n\n<p>Upon searching the web for a place to start I came across some tutorials that use the <code>LocationManager</code> class and some others that use <strong>Google Play Services</strong> in order to find the users location.</p>\n\n<p>On first sight both of them do the same thing, but since I am new to this I got a little confused and I don't know which method suits my needs the best. So, I want to ask you :</p>\n\n<p><strong>What are the differences between these two methods of finding locations (if there are any) ?</strong></p>\n | 2740158.0 | NaN | NaN | NaN | NaN | 2021-03-09 14:01:16 | Android : LocationManager vs Google Play Services | <android><gps><geolocation> | 8 | 1 | 84 | NaN | NaN | CC BY-SA 3.0 |
| 11934 | 40823315 | 1 | 40824044.0 | NaN | 2016-11-26 21:24:32 | NaN | 237 | 77048 | <p>There are already several Q&As on this "<em>X does not implement Y (... method has a pointer receiver)</em>" thing, but to me, they seems to be talking about different things, and not applying to my specific case.</p>\n\n<p>So, instead of making the question very specific, I'm making it broad and abstract -- Seems like there are several different cases that can make this error happen, can someone summary it up please?</p>\n\n<p>I.e., how to avoid the problem, and if it occurs, what are the possibilities? Thx.</p>\n | 2125837.0 | NaN | 13860.0 | NaN | 2018-09-10 16:40:08 | 2021-03-19 08:26:45 | X does not implement Y (... method has a pointer receiver) | <pointers><go><methods><interface> | 4 | 0 | 81 | NaN | NaN | CC BY-SA 4.0 |